We will be using the new energy layer to analyze a variety of PV module futures.
We will use a literture-sourced global scale deployment schedule through 2050, then assume that capacity increases at a lower constant rate through 2100.
Module specific module and material input files are stored in the baselines\Energy_CellModuleTechCompare folder.
import numpy as np
import pandas as pd
import os,sys
from pathlib import Path
import matplotlib.pyplot as plt
cwd = os.getcwd() #grabs current working directory
testfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP' / 'EnergyAnalysis')
inputfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'TEMP')
baselinesfolder = str(Path().resolve().parent.parent /'PV_ICE' / 'baselines')
supportMatfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'SupportingMaterial')
altBaselinesfolder = str(Path().resolve().parent.parent / 'PV_ICE' / 'baselines' / 'Energy_CellModuleTechCompare')
if not os.path.exists(testfolder):
os.makedirs(testfolder)
from platform import python_version
print(python_version())
3.11.5
Graphing settings
#https://www.learnui.design/tools/data-color-picker.html#palette
#color pallette - modify here for all graphs below
colorpalette=['#000000', #PV ICE baseline
'#595959', '#7F7F7F', '#A6A6A6', '#D9D9D9', #BAU, 4 grays, perc, shj, topcon, irena
#'#067872','#0aa39e','#09d0cd','#00ffff', #realistic cases (4) teals, perc, shj, topcon, irena
'#0579C1','#C00000','#FFC000', #extreme cases (3) long life, high eff, circular
'#6E30A0','#00B3B5','#10C483', #ambitious modules (5) high eff+ long life, 50 yr perc, recycleSi,
'#97CB3F','#FF7E00' #circular perovskite+life, circular perovkiste+ high eff
]
colormats = ['#00bfbf','#ff7f0e','#1f77be','#2ca02c','#d62728','#9467BD','#8C564B'] #colors for material plots
import matplotlib as mpl #import matplotlib
from cycler import cycler #import cycler
mpl.rcParams['axes.prop_cycle'] = cycler(color=colorpalette) #reset the default color palette of mpl
from matplotlib.ticker import (MultipleLocator, AutoMinorLocator)
plt.rcParams.update({'font.size': 14})
plt.rcParams['figure.figsize'] = (8, 6)
scennames_labels = ['PV_ICE','PERC','SHJ','TOPCon','Low\nQuality',
'Long-Lived','High Eff','Circular',
'High Eff\n+ Long-life','Long-Life\n+ Recycling',
'Recycled-Si\n+ Long-life','Circular\n+ Long-life',
'Circular\n+ High Eff'
]
scennames_labels_flat = ['PV_ICE','PERC','SHJ','TOPCon','Low Quality',
'Long-Lived','High Eff','Circular',
'High Eff + Long-life','Long-Life + Recycling',
'Recycled-Si + Long-life','Circular + Long-life',
'Circular + High Eff'
]
#,'Lightweight'
Scenarios and materials
MATERIALS = ['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']
moduleFile_m = os.path.join(baselinesfolder, 'baseline_modules_mass_US.csv')
moduleFile_e = os.path.join(baselinesfolder, 'baseline_modules_energy.csv')
We will be deploying based on power (not area) because each of these have different efficiencies, and those differences should be accounted for in the simulation. Additionally, we will run the installation compensation to simulate the required replacements for each module type.
import PV_ICE
PV_ICE.__version__
''
#load in a baseline and materials for modification
sim1 = PV_ICE.Simulation(name='sim1', path=testfolder)
sim1.createScenario(name='PV_ICE', massmodulefile=moduleFile_m, energymodulefile=moduleFile_e)
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['PV_ICE'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
path = C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\TEMP\EnergyAnalysis Baseline folder directed to default: C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\baselines
Starting modifications in 2022, using PV ICE baseline as historical for all modules
NOTE: Currently have to modify all scenarios before extending the years to avoid errors.
NOTE: all dynamic values changed with PV ICE modify functions must feed in a Pandas Series
celltech_modeff = pd.read_csv(os.path.join(supportMatfolder, 'output-celltech-modeffimprovements.csv'),index_col=0) #pull in module eff
celltech_aguse = pd.read_csv(os.path.join(supportMatfolder, 'output-celltech-Agusageimprovements.csv'),index_col=0) #pull in Ag use
celltech_modeff.loc[2030]
PERC 24.5 SHJ 25.3 TOPCon 25.0 Name: 2030, dtype: float64
#glass-glass package mass per area calculation
#ITRPV 2022 Figs 36 and 38, we are assuming that the front and back glass heave equal thickness of 2.5mm
density_glass = 2500*1000 # g/m^3
glassperm2 = (2.5/1000)* 2 * density_glass
print('The mass per module area of glass is '+str(glassperm2)+' g/m^2 for all modules with a glass-glass package')
The mass per module area of glass is 12500.0 g/m^2 for all modules with a glass-glass package
timeshift = 2022-1995
idx_temp = pd.RangeIndex(start=2000,stop=2051,step=1)
Commercialized Modules with Expected Continued Improvement
For all these modules, we assume improving recycling slightly behind the EU WEEE Directive:
#modified module
moduleinput_m_r_PERC = os.path.join(altBaselinesfolder, 'mod_r_PERC.csv')
sim1.createScenario(name='r_PERC', massmodulefile=moduleinput_m_r_PERC, energymodulefile=moduleFile_e)
#module efficiency modify for PERC
sim1.modifyScenario('r_PERC', 'mod_eff', celltech_modeff.loc[2022:,'PERC'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_PERC'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_PERC'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_PERC'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_PERC'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_PERC'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for PERC
sim1.scenario['r_PERC'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'PERC'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_PERC'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_PERC'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
This is a modern SHJ module with expected silver and module efficiency improvements taken from Zhang et al 2021, Gervais et al 2021, and ITPRV 2022. See PERC vs SHJ vs TOPCon for a more detailed evaluation.
#modified module
moduleinput_m_r_SHJ = os.path.join(altBaselinesfolder, 'mod_r_SHJ.csv')
sim1.createScenario(name='r_SHJ', massmodulefile=moduleinput_m_r_SHJ, energymodulefile=moduleFile_e)
#module efficiency modify for SHJ
sim1.modifyScenario('r_SHJ', 'mod_eff', celltech_modeff.loc[2022:,'SHJ'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#load modified materials
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_SHJ'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_SHJ'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_SHJ'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_SHJ'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_SHJ'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for SHJ
sim1.scenario['r_SHJ'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'SHJ'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_SHJ'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_SHJ'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#modified module
moduleinput_m_r_TOPCon = os.path.join(altBaselinesfolder, 'mod_r_TOPCon.csv')
sim1.createScenario(name='r_TOPCon', massmodulefile=moduleinput_m_r_TOPCon, energymodulefile=moduleFile_e)
#module efficiency modify
sim1.modifyScenario('r_TOPCon', 'mod_eff', celltech_modeff.loc[2022:,'TOPCon'], start_year=2022) #changing module eff
#sim1.scenario['SHJ'].dataIn_m.loc[timeshift:,'mod_eff'] = celltech_modeff.loc[2022:,'SHJ'].values
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_TOPCon'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_TOPCon'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_TOPCon'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_TOPCon'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_TOPCon'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silver usage for PERC
sim1.scenario['r_TOPCon'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'TOPCon'], start_year=2022)
#modify package to glass glass
sim1.scenario['r_TOPCon'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['r_TOPCon'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
This scenario uses the IRENA 2016 regular loss scenario results, or a low quality module, and assumes the same EoL recycling improvement as the previous three scenarios. We're assuming this is a mc-Si, therefore, changing the ingot energy to reflect the lower energy intensity.
#modified module
moduleinput_m_r_IRENA = os.path.join(altBaselinesfolder, 'mod_r_IRENAregloss.csv')
sim1.createScenario(name='r_IRENA', massmodulefile=moduleinput_m_r_IRENA, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['r_IRENA'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['r_IRENA'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['r_IRENA'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['r_IRENA'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['r_IRENA'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify silicon mfging energy to be mc-Si only
altmfgSi_mcSi = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_MFG_mcSi.csv'), index_col=0)
#modify silicon recycling energy
sim1.scenario['r_IRENA'].modifyMaterialEnergy('silicon', 'e_mat_MFG',
altmfgSi_mcSi.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['r_IRENA'].modifyMaterialEnergy('silicon', 'e_mat_MFG_fuelfraction',
altmfgSi_mcSi.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
sim1.scenario['r_IRENA'].material['silicon'].matdataIn_e.iloc[25:30,]
| year | e_mat_extraction | e_mat_MFG | e_mat_MFG_fuelfraction | e_mat_MFGScrap_LQ | e_mat_MFGScrap_HQ | e_mat_Landfill | e_mat_Landfill_fuelfraction | e_mat_EoL_ReMFG_clean | e_mat_Recycled_LQ | e_mat_Recycled_HQ | e_mat_Recycled_HQ_fuelfraction | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 2020 | 0.0062 | 169.060000 | 22.000000 | 1.6 | 138.38 | 0.09 | 0 | 0.4 | 1.6 | 138.38 | 20 |
| 26 | 2021 | 0.0062 | 170.730000 | 21.000000 | 1.6 | 143.04 | 0.09 | 0 | 0.4 | 1.6 | 143.04 | 19 |
| 27 | 2022 | 0.0062 | 144.532276 | 0.236169 | 1.6 | 144.33 | 0.09 | 0 | 0.4 | 1.6 | 144.33 | 19 |
| 28 | 2023 | 0.0062 | 144.418207 | 0.236356 | 1.6 | 144.20 | 0.09 | 0 | 0.4 | 1.6 | 144.20 | 19 |
| 29 | 2024 | 0.0062 | 144.304139 | 0.236542 | 1.6 | 144.60 | 0.09 | 0 | 0.4 | 1.6 | 144.60 | 19 |
What if you could have 1/3 design aspects perfectly optimized right now, but at the expense of the other two?
#names for extreme set of scenarios
scennames_ex = ['ex_Life', 'ex_High_eff', 'ex_Circular'] #extreme boundaries
for scen in scennames_ex: #creates extreme scenarios
sim1.createScenario(name=scen, massmodulefile=moduleFile_m, energymodulefile=moduleFile_e)
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario[scen].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
This module represents current PERC technology if it were to have it's lifetime extended significantly. Glass-glass technology is assumed, expected decreases in silver usage and increases in module efficiency are derived from Zhang et al 2021, Gervais et al 2021 and ITRPV 2022. Merchant tail is set to 100%, while material circularity is set to 0 after 2022.
#module efficiency modify for PERC
#evolves at the same rate as the baseline comparison
sim1.modifyScenario('ex_Life', 'mod_eff', celltech_modeff.loc[2022:,'PERC'], start_year=2022) #PERC 2030 module eff
#silver modify for PERC
sim1.scenario['ex_Life'].modifyMaterials('silver', 'mat_massperm2', celltech_aguse.loc[2022:,'PERC'], start_year=2022)
#old way
#sim1.scenario['PERC_50'].material['silver'].matdataIn_m.loc[timeshift:,'mat_massperm2'] = celltech_aguse.loc[2022:,'PERC'].values
#modify package to glass glass
sim1.scenario['ex_Life'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022) #
sim1.scenario['ex_Life'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Lifetime and Degradation
#degradation rate from Theristis et al 2022
#failure is T10 at 50 years
#degradation rate:
sim1.modifyScenario('ex_Life', 'mod_degradation', 0.4, start_year=2022) #annual power degradation to reach 80% at 55 yrs
#T50
sim1.modifyScenario('ex_Life', 'mod_reliability_t50', 56.07, start_year=2022)
#t90
sim1.modifyScenario('ex_Life', 'mod_reliability_t90', 59.15, start_year=2022)
#Mod Project Lifetime
sim1.modifyScenario('ex_Life', 'mod_lifetime', 50, start_year=2022) #project lifetime of 50 years
#Merchant Tail set high
sim1.modifyScenario('ex_Life', 'mod_MerchantTail', 100, start_year=2022) #all installations stay for merchant tail
#Set to no material circularity after 2022
sim1.modifyScenario('ex_Life', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['ex_Life'].material:
sim1.scenario['ex_Life'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
This represents a current 25 year lifetime module warranty where efficiency has been prioritized. This could represent a silicon based tandem, along the lines of a heterojunction, multijunction or tandem structure. This will also be assumed to be bifacial at 0.92, the highest projection from ITRPV 2023.
sim1.modifyScenario('ex_High_eff', 'mod_eff', 30.0, start_year=2022) #changing module eff
#Lifetime and Degradation
#degradation rate:
sim1.modifyScenario('ex_High_eff', 'mod_degradation', 0.75, start_year=2022) #standard current degrdation
#T50
sim1.modifyScenario('ex_High_eff', 'mod_reliability_t50', 30.7, start_year=2022)
#t90
sim1.modifyScenario('ex_High_eff', 'mod_reliability_t90', 35, start_year=2022)
#Mod Project Lifetime
sim1.modifyScenario('ex_High_eff', 'mod_lifetime', 25, start_year=2022) #project lifetime of 25 years
#modify package to glass glass
sim1.scenario['ex_High_eff'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['ex_High_eff'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Set to no material circularity after 2022
sim1.modifyScenario('ex_High_eff', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['ex_High_eff'].material:
sim1.scenario['ex_High_eff'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
There are currently no circular modules, so this extreme case is based on hypothetical perovskite Si tandems modules. This module uses current best perovskite si tandem module and cell efficiencies, has a prospective life of 15 years and 1.47% degradation rate, and is highly circular. This is the extreme module proposed by perovskite tandems [Jean et al. 2019]. This maximizes material circularity, through remanufacturing glass and silicon wafers, and recycling the al frames closed loop.
#2022 module eff = 17.9% #https://www.nrel.gov/pv/assets/pdfs/champion-module-efficiencies-rev220401b.pdf
#2050 module eff = 19.1-26.1% for cheap on mc-Si, 21-27.3% for high eff on SHJ, Sofia et al 2019
idx_perovskite_eff = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_perovskite_eff = pd.DataFrame(index=idx_perovskite_eff, columns=['mod_eff_p'], dtype=float)
df_perovskite_eff.loc[2022] = 17.9 #current champion mini module
df_perovskite_eff.loc[2030] = 19.1 #using the low efficiency, cheap and circular plan
df_perovskite_eff.loc[2050] = 19.1
df_perovskite_eff.interpolate(inplace=True)
#module efficiency modify for PERC
sim1.modifyScenario('ex_Circular', 'mod_eff', df_perovskite_eff.loc[2022:,'mod_eff_p'], start_year=2022)
#modify package to glass glass
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['ex_Circular'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Lifetime and Degradation
#values taken from lifetime vs recycling paper
#degradation rate:
sim1.modifyScenario('ex_Circular', 'mod_degradation', 1.47, start_year=2022) #annual power degradation
#Mod Project Lifetime
sim1.modifyScenario('ex_Circular', 'mod_lifetime', 15, start_year=2022) #project lifetime of 15 years
#T50
sim1.modifyScenario('ex_Circular', 'mod_reliability_t50', 20.49, start_year=2022)
#t90
sim1.modifyScenario('ex_Circular', 'mod_reliability_t90', 25, start_year=2022)
#remfg glass, remfg si, recycle Al, near perfect levels
#100% collection rate
sim1.modifyScenario('ex_Circular', 'mod_EOL_collection_eff', 100.0, start_year=2022) #100% collection
# remanufacturing
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg3_reMFG', 100.0, start_year=2022) #all modules attempt remfg
sim1.modifyScenario('ex_Circular', 'mod_EOL_sp_reMFG_recycle', 100.0, start_year=2022) # recycle if can't remfg
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb3_reMFG', 100.0, start_year=2022) # remfg bad mods too
sim1.modifyScenario('ex_Circular', 'mod_EOL_reMFG_yield', 98.0, start_year=2022) # REMFG YIELD 98%
#set all other paths to 0
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg0_resell', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg1_landfill', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg2_stored', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pg4_recycled', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb1_landfill', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb2_stored', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_EOL_pb4_recycled', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_Repair', 0.0, start_year=2022) #
sim1.modifyScenario('ex_Circular', 'mod_MerchantTail', 0.0, start_year=2022) #
#Material Remanufacture
#Glass
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_PG3_ReMFG_target', 100.0, start_year=2022) #send all to remfg
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #any breakage gets recycled
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_ReMFG_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['ex_Circular'].modifyMaterials('glass', 'mat_Recycling_yield', 98.0, start_year=2022) #98% yeild
#silicon ReMFG
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 100.0, start_year=2022) #send to remfg
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_ReMFG_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #remfg breakage gets recycled
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#aluminium_frames recycle
#mfg scrap
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_ReMFG_yield', 0.0, start_year=2022) #0% yeild
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['ex_Circular'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
"What if we could have 2/3 design aspects improved?" These are modules which have a basis in laboratory or field but have not yet been fully/completely demonstrated or commercialized. They are the mix and match of the extreme design aspects. Typically one of the two design aspects is emphasized more heavily.
What if we made long lived tandem modules?
#modified module
moduleinput_m_r_EffLife = os.path.join(altBaselinesfolder, 'mod_r_EffLife.csv')
sim1.createScenario(name='h_EffLife', massmodulefile=moduleinput_m_r_EffLife, energymodulefile=moduleFile_e)
#load standard materials
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['h_EffLife'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#sim1.modifyScenario('ex_High_eff', 'mod_eff', 30.0, start_year=2022) #changing module eff
#module efficiency in the module file from 23.86 to 30% in 2040
#also lifetime and reliabiltiy in mod file, from 25-40 years in 2050
#modify package to glass glass
sim1.scenario['h_EffLife'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_EffLife'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#Set to no material circularity after 2022
sim1.modifyScenario('h_EffLife', 'mod_EOL_collection_eff', 0.0, start_year=2022)
for mat in sim1.scenario['h_EffLife'].material:
sim1.scenario['h_EffLife'].modifyMaterials(mat, 'mat_MFG_scrap_Recycled', 0.0, start_year=2022) #
What if long lived modules were eventually recycled?
#modified module
moduleinput_m_r_50PERC = os.path.join(altBaselinesfolder, 'mod_r_50PERC.csv')
sim1.createScenario(name='h_50PERC', massmodulefile=moduleinput_m_r_50PERC, energymodulefile=moduleFile_e)
#load standard materials
for mat in range (0, len(MATERIALS)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
sim1.scenario['h_50PERC'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modify package to glass glass
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_50PERC'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#glass recycling, 25% closed loop recycle in 2050
#create improvement series
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_glass_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_glass_target.loc[2022] = 0
df_glass_target.loc[2030] = 100
df_glass_target.loc[2050] = 100
df_glass_target.interpolate(inplace=True)
df_glass_lowrecycle = pd.DataFrame(index=idx_temp, columns=['mat_EOL_Recycled_into_HQ'], dtype=float)
df_glass_lowrecycle.loc[2022] = 0
df_glass_lowrecycle.loc[2030] = 0
df_glass_lowrecycle.loc[2050] = 50
df_glass_lowrecycle.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_PG4_Recycling_target',
df_glass_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_EOL_Recycled_into_HQ',
df_glass_lowrecycle.loc[2022:,'mat_EOL_Recycled_into_HQ'], start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('glass', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#silicon recycled, 25% closed loop in 2050
#create improvement series
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_si_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_si_target.loc[2022] = 0
df_si_target.loc[2030] = 0
df_si_target.loc[2050] = 50
df_si_target.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_PG4_Recycling_target',
df_si_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#aluminium_frames recycle, 25% closed loop in 2050
idx_temp = pd.RangeIndex(start=2022,stop=2051,step=1) #create the index
df_al_target = pd.DataFrame(index=idx_temp, columns=['mat_PG4_Recycling_target'], dtype=float)
df_al_target.loc[2022] = 0
df_al_target.loc[2030] = 100
df_al_target.loc[2050] = 100
df_al_target.interpolate(inplace=True)
df_al_lowrecycle = pd.DataFrame(index=idx_temp, columns=['mat_EOL_Recycled_into_HQ'], dtype=float)
df_al_lowrecycle.loc[2022] = 0
df_al_lowrecycle.loc[2030] = 100
df_al_lowrecycle.loc[2050] = 100
df_al_lowrecycle.interpolate(inplace=True)
df_al_lowCL = pd.DataFrame(index=idx_temp, columns=['mat_EOL_RecycledHQ_Reused4MFG'], dtype=float)
df_al_lowCL.loc[2022] = 0
df_al_lowCL.loc[2030] = 20
df_al_lowCL.loc[2050] = 50
df_al_lowCL.interpolate(inplace=True)
#eol
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target',
df_al_target.loc[2022:,'mat_PG4_Recycling_target'], start_year=2022) #send to recycle
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #98% yeild
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ',
df_al_lowrecycle.loc[2022:,'mat_EOL_Recycled_into_HQ'], start_year=2022) #all HQ
sim1.scenario['h_50PERC'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',
df_al_lowCL.loc[2022:,'mat_EOL_RecycledHQ_Reused4MFG'], start_year=2022) #closed-loop
This module is based on the recent test from Fraunhofer ISE in which an old module was dissassembled, and the silicon wafer cleaned, put into a Cz ingot growth process and made using standard PERC processing, creating a 19% efficient module. https://www.ise.fraunhofer.de/en/press-media/press-releases/2022/solar-cells-from-recycled-silicon.html We will assume this is a low quality module, like a mc-Si module, thus changing the mfging energy, and that the module efficiency improves slightly slower than mc-Si expectations (22% by 2050, ITRPV 2023).
#modified module
moduleinput_m_r_RecyclePERC = os.path.join(altBaselinesfolder, 'mod_r_PERCrecycleSi.csv')
sim1.createScenario(name='h_RecycledPERC', massmodulefile=moduleinput_m_r_RecyclePERC, energymodulefile=moduleFile_e)
#for mat in range (0, len(MATERIALS)):
# matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+MATERIALS[mat]+'.csv')
# matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+MATERIALS[mat]+'.csv')
# sim1.scenario['h_RecycledPERC'].addMaterial(MATERIALS[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#modified materials for 71% closed loop recycling in 2050
#glass
matinput_glass_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_glass_improvedRecycle.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('glass', massmatfile=matinput_glass_m_improvedRecycle, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silicon_improvedRecycle.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('silicon', massmatfile=matinput_silicon_m_improvedRecycle, energymatfile=matbaseline_e_si)
#silver
matinput_silver_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_silver_improvedRecycle.csv')
matbaseline_e_ag = os.path.join(baselinesfolder,'baseline_material_energy_silver.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('silver', massmatfile=matinput_silver_m_improvedRecycle, energymatfile=matbaseline_e_ag)
#aluminium frames
matinput_Al_m_improvedRecycle = os.path.join(altBaselinesfolder,'material_mass_aluminium_frames_improvedRecycle.csv')
matbaseline_e_al = os.path.join(baselinesfolder,'baseline_material_energy_aluminium_frames.csv')
sim1.scenario['h_RecycledPERC'].addMaterial('aluminium_frames', massmatfile=matinput_Al_m_improvedRecycle, energymatfile=matbaseline_e_al)
#standard materials
baselineMats=['copper', 'encapsulant', 'backsheet']
for mats in range (0, len(baselineMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+baselineMats[mats]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+baselineMats[mats]+'.csv')
sim1.scenario['h_RecycledPERC'].addMaterial(baselineMats[mats], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#silicon Fraunhofer test recycled
#mfg scrap
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled', 100.0, start_year=2022) #send mfg scrap to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycling_eff', 98.0, start_year=2022) #98% yield
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_MFG_scrap_Recycled_into_HQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#eol
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_RecycledPERC'].modifyMaterials('silicon', 'mat_EOL_RecycledHQ_Reused4MFG', 100.0, start_year=2022) #closed-loop
#silicon mfging energy to be mc-Si only for the virgin manufacturing
altmfgSi_mcSi = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_MFG_mcSi.csv'), index_col=0)
#modify
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_MFG',
altmfgSi_mcSi.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_MFG_fuelfraction',
altmfgSi_mcSi.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
#the cool feature of this module was that the wafer was directly put into the Cz process
#therefore, we need to modify the recycling energy to reflect this
#this energy profile is output by the (baseline development) Energy Silicon Manufacturing journal.
altHQRecycle_e = pd.read_csv(os.path.join(supportMatfolder, 'output_energy_silicon_eol_recycleHQ_ALT.csv'), index_col=0)
#altHQRecycle_e
#modify silicon recycling energy to match Fraunhofer ISE CZ process
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_Recycled_HQ',
altHQRecycle_e.loc[2022:,'E_MFG_kWhpkg'], start_year=2022)
sim1.scenario['h_RecycledPERC'].modifyMaterialEnergy('silicon', 'e_mat_Recycled_HQ_fuelfraction',
altHQRecycle_e.loc[2022:,'E_mfgFuelFraction'], start_year=2022)
#check all modifications made
sim1.scenario['h_RecycledPERC'].material['silicon'].matdataIn_e.iloc[25:30,]
| year | e_mat_extraction | e_mat_MFG | e_mat_MFG_fuelfraction | e_mat_MFGScrap_LQ | e_mat_MFGScrap_HQ | e_mat_Landfill | e_mat_Landfill_fuelfraction | e_mat_EoL_ReMFG_clean | e_mat_Recycled_LQ | e_mat_Recycled_HQ | e_mat_Recycled_HQ_fuelfraction | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 25 | 2020 | 0.0062 | 169.060000 | 22.000000 | 1.6 | 138.38 | 0.09 | 0 | 0.4 | 1.6 | 138.380000 | 20.000000 |
| 26 | 2021 | 0.0062 | 170.730000 | 21.000000 | 1.6 | 143.04 | 0.09 | 0 | 0.4 | 1.6 | 143.040000 | 19.000000 |
| 27 | 2022 | 0.0062 | 144.532276 | 0.236169 | 1.6 | 144.33 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
| 28 | 2023 | 0.0062 | 144.418207 | 0.236356 | 1.6 | 144.20 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
| 29 | 2024 | 0.0062 | 144.304139 | 0.236542 | 1.6 | 144.60 | 0.09 | 0 | 0.4 | 1.6 | 77.837724 | 0.055738 |
What if perovskite silicon tandems focused on circularity and lifetime improvements?
#modified module
moduleinput_m_r_perovskite = os.path.join(altBaselinesfolder, 'mod_r_perovskite_life.csv')
sim1.createScenario(name='h_Perovskite_life', massmodulefile=moduleinput_m_r_perovskite, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_remfg = os.path.join(altBaselinesfolder,'material_mass_glass_r_perovskite.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_Perovskite_life'].addMaterial('glass', massmatfile=matinput_glass_m_remfg, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_remfg = os.path.join(altBaselinesfolder,'material_mass_silicon_r_perovskite.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_Perovskite_life'].addMaterial('silicon', massmatfile=matinput_silicon_m_remfg, energymatfile=matbaseline_e_si)
#load standard materials
subMats =['silver', 'aluminium_frames','copper','encapsulant', 'backsheet']
for mat in range (0, len(subMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+subMats[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+subMats[mat]+'.csv')
sim1.scenario['h_Perovskite_life'].addMaterial(subMats[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
sim1.scenario['h_Perovskite_life'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_Perovskite_life'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#aluminium_frames recycle
#eol
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_Perovskite_life'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',100.0, start_year=2022) #closed-loop
What if perovskite Si tandems focused on circularity and efficiency?
#modified module
moduleinput_m_r_perovskite = os.path.join(altBaselinesfolder, 'mod_r_perovskite_eff.csv')
sim1.createScenario(name='h_Perovskite_Eff', massmodulefile=moduleinput_m_r_perovskite, energymodulefile=moduleFile_e)
#modified materials
#glass
matinput_glass_m_remfg = os.path.join(altBaselinesfolder,'material_mass_glass_r_perovskite.csv')
matbaseline_e_glass = os.path.join(baselinesfolder,'baseline_material_energy_glass.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial('glass', massmatfile=matinput_glass_m_remfg, energymatfile=matbaseline_e_glass)
#silicon
matinput_silicon_m_remfg = os.path.join(altBaselinesfolder,'material_mass_silicon_r_perovskite.csv')
matbaseline_e_si = os.path.join(baselinesfolder,'baseline_material_energy_silicon.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial('silicon', massmatfile=matinput_silicon_m_remfg, energymatfile=matbaseline_e_si)
#load standard materials
subMats =['silver', 'aluminium_frames','copper','encapsulant', 'backsheet']
for mat in range (0, len(subMats)):
matbaseline_m = os.path.join(baselinesfolder,'baseline_material_mass_'+subMats[mat]+'.csv')
matbaseline_e = os.path.join(baselinesfolder,'baseline_material_energy_'+subMats[mat]+'.csv')
sim1.scenario['h_Perovskite_Eff'].addMaterial(subMats[mat], massmatfile=matbaseline_m, energymatfile=matbaseline_e)
#package to glass-glass
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('glass', 'mat_massperm2', glassperm2, start_year=2022)
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('backsheet', 'mat_massperm2', 0.0, start_year=2022) #
#aluminium_frames recycle
#eol
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_PG3_ReMFG_target', 0.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_PG4_Recycling_target', 100.0, start_year=2022) #send to recycle
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_Recycling_yield', 98.0, start_year=2022) #99% yeild
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_EOL_Recycled_into_HQ', 100.0, start_year=2022) #all HQ
sim1.scenario['h_Perovskite_Eff'].modifyMaterials('aluminium_frames', 'mat_EOL_RecycledHQ_Reused4MFG',100.0, start_year=2022) #closed-loop
#trim to start in 2000, this trims module and materials
#had to specify and end year, cannot use to extend
sim1.trim_Years(startYear=2000, endYear=2100)
Trimming and extending PV_ICE PV_ICE glass : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE silicon : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE silver : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE copper : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 PV_ICE backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_PERC r_PERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_PERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_SHJ r_SHJ glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_SHJ backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_TOPCon r_TOPCon glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_TOPCon backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending r_IRENA r_IRENA glass : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA silicon : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA silver : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA copper : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 r_IRENA backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_Life ex_Life glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Life backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_High_eff ex_High_eff glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_High_eff backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending ex_Circular ex_Circular glass : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular silicon : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular silver : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular copper : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 ex_Circular backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_EffLife h_EffLife glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_EffLife backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_50PERC h_50PERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_50PERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_RecycledPERC h_RecycledPERC glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_RecycledPERC backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_Perovskite_life h_Perovskite_life glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_life backsheet : Data trimmed for Mass, years now encompass 2000 to 2100 Trimming and extending h_Perovskite_Eff h_Perovskite_Eff glass : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff silicon : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff silver : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff aluminium_frames : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff copper : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff encapsulant : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff backsheet : Data trimmed for Energy, years now encompass 2000 to 2100 h_Perovskite_Eff backsheet : Data trimmed for Mass, years now encompass 2000 to 2100
#check
#sim1.scenario['h_Perovskite'].dataIn_m
For the full derivation of the deployment curve, see the "PV Installations - Global" development journal. Essentially, the projection is 2000-2021 IRENA historical installation data, 2022 through 2050 is a quadratic fit to achieve 75 TW in 2050, and from 2050 to 2100 is a linear increase to 86 TW based on 2000-2021 global increase in electricity capacity.
This is the deployment curve applied to all PV technologies - however, it will be modified for each PV tech using the installation compensation method, increasing it for any replacement modules required to maintain capacity.
#global_projection = pd.read_csv(os.path.join(supportMatfolder,'input-globalDeploymentProjection-HieslmairPlus.csv'), index_col=0)
#global_projection = pd.read_csv(os.path.join(supportMatfolder,'output-globalInstallsProjection.csv.csv'), index_col=0)
global_projection = pd.read_csv(os.path.join(supportMatfolder,'input-expotoflatGlobalInstallsProjection.csv'), index_col=0)
fig, ax1 = plt.subplots(figsize=(10,5))
ax1.stackplot(global_projection.index, global_projection['World_Cumu_[MW]']/1e6, color='#F7A11A')
ax1.set_ylabel('Cumulative Solar Capacity [$TW_{dc}$]', color='#F7A11A', fontsize=18)
ax1.set_ylim(0,90)
ax1.set_xlim(2000,2100)
ax1.text(2051,70,'75 TW', color='#954712', fontsize=16)
ax1.text(2090,80,'86 TW', color='#954712', fontsize=16)
ax2 = ax1.twinx()
ax2.plot(global_projection.loc[:2049,'World_Annual_[MW]']/1e6)
ax2.set_ylabel('Annual Installations [$TW_{dc}$]', fontsize=18)
ax2.set_ylim(0,5)
ax2.axvspan(2000,2022, facecolor='0.2', alpha=0.1) #grey shading
ax2.text(2005,0.5,'Global\nHistorical\nDeployment', fontsize=14)
ax2.text(2060,0.3,'+ Replacements', fontsize=16)
ax2.set_zorder(10) #send orange to back
ax2.patch.set_visible(False) #send orange to back
plt.show()
fig.savefig('energyresults-deployment.png', dpi=300, bbox_inches='tight')
global_projection.loc[2030]/1e3
World_Cumu_[MW] 17658.29562 World_Annual_[MW] 3000.00000 Unnamed: 3 NaN Name: 2030, dtype: float64
1500/130
11.538461538461538
#deployment projection for all scenarios
sim1.modifyScenario(scenarios=None,stage='new_Installed_Capacity_[MW]',
value= global_projection['World_Annual_[MW]'], start_year=2000)
#for scen in scennames:
# sim1.scenario[scen].dataIn_m.loc[0:len(global_projection.index-1),'new_Installed_Capacity_[MW]'] = global_projection['World_annual_[MWdc]'].values
Can just calc mass here (exclude energy) because we're going to immediately do Install Compensation.
sim1.scenario.keys()
dict_keys(['PV_ICE', 'r_PERC', 'r_SHJ', 'r_TOPCon', 'r_IRENA', 'ex_Life', 'ex_High_eff', 'ex_Circular', 'h_EffLife', 'h_50PERC', 'h_RecycledPERC', 'h_Perovskite_life', 'h_Perovskite_Eff'])
for scen in sim1.scenario.keys():
print(sim1.scenario[scen].material.keys())
dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet']) dict_keys(['glass', 'silicon', 'silver', 'aluminium_frames', 'copper', 'encapsulant', 'backsheet'])
idx_temp = pd.RangeIndex(start=2022,stop=2101,step=1) #create the index evolve_weibull = pd.DataFrame(index=idx_temp, columns=['alpha','beta'], dtype=float) evolve_weibull.loc[2022] = [5.3759,30] evolve_weibull.loc[2030] = [5.1 ,35] evolve_weibull.loc[2050] = [4.602 ,40.767]
evolve_weibull.interpolate(inplace=True) evolve_weibull = round(evolve_weibull,3)
dict_weibull = {'alpha':evolve_weibull['alpha'].tolist(), 'beta':evolve_weibull['beta'].tolist()} evolve_weibull.to_csv(os.path.join(altBaselinesfolder,'evolve_weibull.csv'))
IRENAregloss = {'alpha':5.3759,
'beta':30} #IRENA values
bifiFactors = {'PV_ICE':0.0,
'ex_Life':0.35, # ITRPV 2022, Fig. 58, 0.7 but only 50% of market share is bifi
'ex_High_eff': 0.92,
'ex_Circular': 0.0,
'h_EffLife': 0.92,
'h_50PERC':0.35,
'h_RecycledPERC': 0.0,
'h_Perovskite_life': 0.0,
'h_Perovskite_Eff': 0.0,
'r_PERC':0.7,
'r_SHJ':0.9, # ITRPV 2022, Fig. 58
'r_TOPCon':0.8, # ITRPV 2022, Fig. 58
'r_IRENA':0.0 }
#MAY NEED TO CHANGE TO BE DYNAMIC
#PV ICE currently set up to read in a csv of bifi factors, so generate files to read in
idx_temp = pd.RangeIndex(start=2000,stop=2101,step=1) #create the index
df_temp = pd.DataFrame(index=idx_temp, columns=['bifi'], dtype=float)
bifiPathDict={}
for f in bifiFactors.keys(): #loop over module types
bifi = df_temp.copy() #copy of df
bifi['bifi'] = bifiFactors[f] #assign column
bifipath = os.path.join(testfolder,'bifi_'+str(f)+'.csv') #create file path
bifi.to_csv(path_or_buf=bifipath, index_label='year') #create file
bifiPathDict[str(f)] = bifipath
#append bifi path to dict? or list?
#CALCULATE MASS FLOWs
#13 scenarios, 7 mats =
for scen in sim1.scenario.keys(): #loop over scenarios
if scen in ['r_IRENA']: #,'ex_Lightweight'
sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], weibullInputParams=IRENAregloss)
#elif scen in ['ex_Life','h_50PERC']:
# sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], nameplatedeglimit=0.0)
else:
sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1410074032.4306283 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40541048.765955575 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 264074.8973000376 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 212191145.97170606 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1365725725.782264 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 39266518.26937924 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 474203.45134392177 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 205514690.58975163 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1382232002.0410593 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39741356.42419606 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 440385.19866936485 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 207997171.01265442 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3446360.4635055196 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37907564.057164475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet
ii_yearly, ii_cumu = sim1.aggregateResults() #have to do this to get auto plots
C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1)
sim1.saveSimulation(customname='_EnergyAnalysis_identicalinstalls')
:) Saved Input and Output Dataframes
effective_capacity = ii_yearly.filter(like='ActiveCapacity')
#plt.plot(ii_cumu['newInstalledCapacity_sim1_PV_ICE_[MW]']/1e6, label='Capacity Target', color='black', ls='--')
#plt.plot(effective_capacity/1e6, label=sim1.scenario.keys())
#plt.legend()
#plt.ylabel('Effective Capacity [TW]')
#plt.title('Effective Capacity: No Replacements')
#plt.ylim(0,)
scennames_labels_flat[5:8]
['Long-Lived', 'High Eff', 'Circular']
effective_capacity_tw = ii_yearly.filter(like='ActiveCapacity')/1e6
plt.rcParams['figure.figsize'] = (10,5)
fig_effectiveCap = plt.figure()
#capacity target
plt.plot(ii_cumu['newInstalledCapacity_sim1_PV_ICE_[MW]']/1e6,
label='Capacity Target', color='black', ls='dashdot')
#BAU
plt.plot(effective_capacity_tw.iloc[:,0], label=scennames_labels_flat[0]) #, ls='dotted')
plt.plot(effective_capacity_tw.iloc[:,1:5], label=scennames_labels_flat[1:5])
#Extreme
plt.plot(effective_capacity_tw.iloc[:,5:8], label=scennames_labels_flat[5:8])
#create glowlines for extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
plt.plot(effective_capacity_tw.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
#Ambitious
plt.plot(effective_capacity_tw.iloc[:,8:], label=scennames_labels_flat[8:], ls='--') #color=colorpalette[4:7],
#plt.plot(effective_capacity/1e6, label=sim1.scenario.keys())
plt.legend(prop={'size': 11}) #bbox_to_anchor=(1,1.02),
plt.ylabel('Effective Capacity [TW]')
plt.title('Effective Capacity: No Replacements', fontsize=20)
plt.ylim(0,90)
plt.xlim(2000,2100)
#ax.xaxis.set_minor_locator(MultipleLocator(10))
plt.xticks(np.arange(2000, 2101, 10))
plt.yticks(np.arange(0, 91, 10))
plt.grid(axis='both', which='both', color='0.9', ls='--')
fig_effectiveCap
fig_effectiveCap.savefig('energyresults-effectivecapacity.png', dpi=300, bbox_inches='tight')
plt.rcParams['figure.figsize'] = (8, 6)
Make the installations always match up to the cumulative capacity deployment schedule.
#13 scenarios with 7 materials
#currently takes: ~50 mins
UnderInstall_df = pd.DataFrame()
for row in range (0,len(sim1.scenario['PV_ICE'].dataIn_m)): #loop over length of years
print(row)
for scen in sim1.scenario.keys(): #loop over scenarios
print(scen)
Under_Installment = global_projection.iloc[row,0] - ((sim1.scenario[scen].dataOut_m['Effective_Capacity_[W]'][row])/1e6) # MWATTS
sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
UnderInstall_df.loc[row,scen] = Under_Installment #save the underinstallment as df
#calculate flows for that scenario with it's bifi factor and modified weibull
if scen in ['r_IRENA']: #,'ex_Lightweight'
sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], weibullInputParams=IRENAregloss)
#elif scen in ['ex_Life','h_50PERC']:
# sim1.calculateMassFlow(scenarios=[scen], bifacialityfactors=bifiPathDict[scen], nameplatedeglimit=0.0)
else:
sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
0 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 1 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 2 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 3 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 4 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 5 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 6 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 7 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 8 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 9 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 10 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 11 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 12 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 13 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6441875.174810661 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245562983.0521283 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222732004.75021946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 14 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6443971.754052341 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245570736.33162785 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222739758.02971902 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 15 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6446787.482473949 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245580511.66824883 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222749533.36634004 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 16 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6450522.961804781 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245592762.68776628 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83265086.53368074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222761784.38585746 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 17 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6455669.994390546 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245609252.24451894 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83268403.3810233 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277796573.3494282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030558095.9721642 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11797944.07624162 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222778273.94261009 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 18 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6462333.434033539 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245630747.96614 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83273119.61129327 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277805435.3817538 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030608955.182866 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798217.508271046 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222799769.66423115 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 19 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1282994033.953199 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45444887.926530026 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278276.8532768996 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239792269.263443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556151414.6874995 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288660.22469626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68256138.06008896 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6470328.384937439 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245656749.22370848 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518357683.4692721 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83279219.56343706 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311311.6436094644 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277818636.9055465 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3362884803.5121207 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60666747.15359726 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510377.2070942326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316490463.585927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030689638.0199552 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798406.234397225 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35753820.02011216 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1567913.076237202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222825770.92179966 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 20 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1283042548.7999945 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45447215.974911064 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278298.22814376815 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239802813.70348704 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556328387.505435 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288746.038454508 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68263937.08553247 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6472701.541896553 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245690587.77039582 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518482065.655972 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83288792.21306862 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311366.4444149321 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277848511.4950271 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363061776.330056 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60672477.04984147 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510538.579682335 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316517497.38273007 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2030884606.2804196 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798465.330970349 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35759549.91635637 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568074.448825304 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222859609.46848696 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 21 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246798.96943928782 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435049.03793020424 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407764.0728420039 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1283104491.6819265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45450041.49448204 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278322.74891937966 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239815136.19295737 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6474794.033729376 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245726284.94787243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329816.872952195 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36625665.755714476 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83299403.30119644 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277881097.64307505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222895306.64596358 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 22 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1317826198.5332909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37888830.6223884 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246845.79789409373 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198309482.21654734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1252959381.451615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36024328.68750403 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435147.199295502 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188545587.69701928 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1279844446.3343115 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36797552.244626 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 407841.2590835583 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192589973.15986517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1283104491.6819265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45450041.49448204 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278322.74891937966 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239815136.19295737 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6474794.033729376 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245726284.94787243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3329820.1293659955 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36626577.275920935 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83299403.30119644 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277881097.64307505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222895306.64596358 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 23 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1316354617.9517598 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37823470.06923461 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 244838.6863880196 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 197553443.3104238 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1251546128.381678 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35961728.59824654 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 431015.8141194664 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 187824842.34190884 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1278393861.024609 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36733382.04255861 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 404879.4333081763 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 191852808.50099668 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1283104491.6819265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45450041.49448204 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 278322.74891937966 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 239815136.19295737 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6474794.033729376 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245726284.94787243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3328128.381065308 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36525404.91850572 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83299403.30119644 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277881097.64307505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222895306.64596358 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 24 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1300739468.2711356 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37326089.46482165 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 240751.7171599914 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 195349833.3874941 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1236685834.8989506 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35488392.00491472 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 422772.60828293324 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 185727757.72562635 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1263207871.646407 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36249671.24054745 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 398293.6208729438 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 189709761.67994484 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1271620438.146246 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44991761.88757792 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 274913.25440959004 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 237784760.50019762 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6474794.033729376 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245726284.94787243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3310838.632997523 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36148904.448630884 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83299403.30119644 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277881097.64307505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 222895306.64596358 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 25 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1261611110.889377 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36099601.92056923 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 231123.27495983688 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189893001.87531036 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1199456076.6749928 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34321416.49680148 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 403757.9468699032 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180535704.40518248 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1225165661.38345 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35057229.23261638 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 382621.71018543164 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184404403.9893407 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1241407524.559663 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43800856.15427029 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 266411.14806372294 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232486237.93141413 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6026083.124244675 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245049183.92096063 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3244578.3575031813 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35029386.169695854 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 82754302.57195769 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277881097.64307505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 219316264.81410497 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 26 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1258430413.8431776 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36001515.48893081 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230385.8371136778 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189452943.08382526 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1196430281.817525 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34228106.94354065 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 402332.8135683329 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180117076.7871105 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1222074117.5340018 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34961892.10995376 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 381415.249670864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 183976679.80484563 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1238900535.3921325 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43703256.53841022 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 265742.36735620553 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232048363.20921892 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5809966.720656085 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 244341365.10771343 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3235797.3422317347 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 34924004.50426568 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 82524923.15439227 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 277881097.64307505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 218635770.84976935 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 27 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1259359990.7937994 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36029741.75784058 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230589.78000860743 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189580523.91137138 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1197314424.147288 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34254953.606571294 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 402714.13645897165 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180238421.889336 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1222977390.762992 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 34989319.67584104 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 381748.1325382991 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184100650.54871756 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1239890914.7911005 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43740815.60956893 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 265989.1182749922 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232218127.67208892 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5952564.319653437 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 244811883.66492417 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3239869.2487176443 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 34955547.68953231 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 82599038.90728061 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 278063971.52692926 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 219083973.6880654 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 28 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1260762102.6066716 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36071652.63058967 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 230879.93106107228 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 189771406.4238402 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1198647762.424852 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34294808.75248011 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 403237.58520999976 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180419941.6212545 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1224339459.001876 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35030033.59616564 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 382220.51654705824 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184286081.55729 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1241514981.5860615 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43800816.892033115 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 266365.3057133314 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232491402.7149801 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6175818.79587063 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 245554171.2836901 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3248565.2798124584 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35007739.811761856 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 82710974.88172299 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 278416449.7264122 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 219784727.2693286 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 29 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1262641395.888443 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36126937.41307555 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 231245.42346039254 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 190025172.03857344 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1200434555.432955 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34347372.37507081 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 403870.8177923047 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180661216.69550735 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1226164593.5246985 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35083725.14398335 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 382813.8640978367 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184532533.98100024 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1243832731.82245 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43884239.843653634 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 266862.6026156491 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 232874326.83349767 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16288850.77277286 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68272985.28154992 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6478659.16662256 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 246568955.12255803 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3262758.493566771 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35081108.87338938 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1518633872.1238983 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 82860146.27687868 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 311426.53868598136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 278909355.30643797 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3363277768.821606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60679124.70405836 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2510725.7993317083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 316547696.71385914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 220734364.49138027 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 30 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1264995931.2532678 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36195725.10725007 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 231674.01793673023 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 190340504.7109592 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1202672802.1717093 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34412762.69982559 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 404578.63589908945 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 180960975.33839464 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1228450672.6895785 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35150512.89191942 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 383507.41983228276 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 184838698.61250943 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1246800387.449131 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 43990793.704674646 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 267458.39797548956 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 233362785.0403324 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16321095.509910693 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68294724.47928354 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6840481.189953648 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 247853119.8481877 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3282692.3784497203 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35175013.96509755 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1522478865.1253064 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83046981.10760777 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 312198.47090354096 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 279550130.59337443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3372530234.0473633 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60861508.3318003 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2515862.317827298 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 317418605.8299663 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11798519.252143614 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 221925848.36507672 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 31 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1267655692.6626518 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36272890.355867736 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 232150.95265425261 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 190693771.09229517 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1205201200.451466 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34486116.828949206 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 405370.45365139504 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 181296794.2233948 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1231033103.887872 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35225434.62916673 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 384283.4612122664 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 185181694.08618304 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1250275705.408341 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44115270.422514 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 268159.27610526886 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 233932645.70247528 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2556544379.996985 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 32495713.71747173 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68727236.43013597 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6857958.2034778865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 249368472.97583428 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3306947.9998040483 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35284500.54758475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1526861407.549754 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83257933.32907836 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 313082.311799303 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 280273543.06619805 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3383596925.386959 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 61078138.89607919 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2521963.341882499 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 318451674.15979105 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2031117119.899142 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 15392451.128194224 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 223309274.16921514 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 32 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1271006921.3265288 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36370116.51762435 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 232742.78090109146 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 191138877.34090093 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1208386914.5141864 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34578541.06550191 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 406358.39241003053 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 181719917.01739356 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1234286898.2606719 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35319834.01809012 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 385251.9007509497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 185613859.22687382 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1254703835.0575504 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44273874.3405929 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 269052.31071775185 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 234658742.40026534 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2561287397.5057263 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47651744.641738616 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 69258389.03517503 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6879421.104661099 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 251229424.47027808 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3336410.411467863 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35413932.99632901 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1532335939.561507 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83520409.5281533 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 314186.3776151074 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 281174237.59118193 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3397472478.4250975 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 61349752.94874358 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2529612.880508558 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 319746947.8746382 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2041235993.8368495 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19716843.16352694 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 224981379.0961979 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 33 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1274517646.1025589 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36471969.995614834 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 233353.24645620922 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 191605167.67548475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1211724247.8330026 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34675364.09419836 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 407383.1855221101 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 182163177.7026154 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1237695551.796535 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35418726.1956435 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 386256.6346557144 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 186066592.57941973 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1259530334.5633664 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44446746.81562647 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 270025.6858122673 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 235450161.26797718 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2583499172.530855 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47717283.46586769 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 69852433.02352792 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6903425.331129124 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 253310722.83425632 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3369890.5677973717 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35558546.69200774 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1538122763.2731037 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 83797292.92434657 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 315353.4242646373 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 282124675.8408604 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3412726701.7391286 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 61648354.482187584 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2538022.4747157563 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 321170919.5494799 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2058193389.2764976 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19813537.397444062 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 226822395.25964415 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 34 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1278882867.5971377 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36598614.21291642 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 234100.44767357135 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 192184951.25895935 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1215873874.3110242 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34795753.44856575 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 408644.77754173864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 182714326.2096261 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1241933857.9236605 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35541688.33234629 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 387493.73524512135 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 186629519.41309786 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1265552394.732437 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44662441.118500374 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 271240.17332628934 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 236437620.6129031 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2610177132.9490547 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47765343.62514165 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 70564627.07443297 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6932203.784614486 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 255805972.92018527 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3408675.773426811 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35724307.92136108 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1545199909.961249 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 84135559.95436719 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 316780.6943427079 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 283286001.03103155 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3431252535.383144 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 62010997.81187736 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2548235.6950213024 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 322900293.88856155 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2079664384.9617705 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19858110.63434287 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 35766197.570573255 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1568261.6684746777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 228995782.51051623 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 35 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1283611536.226741 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36735802.79274413 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 234897.02481751883 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 192813007.4633329 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1220368997.273081 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34926166.37948142 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 409997.76179538376 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 183311363.15318942 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1246525044.1097658 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35674888.25856934 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 388820.6407025948 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 187239315.36106628 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1272251141.79011 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44902372.55992875 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 272591.13037964463 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 237536038.79466882 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2640258009.443559 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47799286.544181526 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 71366834.21095842 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6964619.5015598005 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 258616593.73877397 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3451788.1771045034 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35907362.733237885 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1552860874.932325 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 84501553.95777503 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 318325.70486095524 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 284542600.9663424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3451775414.365371 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 62412733.31873478 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2559549.8786838176 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 324816091.0914263 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2105091063.8989518 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19866329.583026525 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 36237882.696515314 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1581545.8618175355 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 231406947.08300892 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 36 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1288344103.0677254 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36873104.46784775 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 235681.4122204854 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 193441581.4235561 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1224867826.980347 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35056686.850838356 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 411338.20778396743 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 183908892.42229056 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1251120015.7129822 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35808198.00767029 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 390135.43356429617 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 187849614.08368212 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1279234185.296284 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45152486.74987628 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 273999.42237773497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 238681074.11025918 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2673157532.355184 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47824438.94847745 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 72243736.55097064 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7000053.514482741 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 261688917.40742454 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3498607.919264107 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36105373.23092554 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1560603664.0703301 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 84871374.90825395 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 319887.21711221256 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 285812375.7532955 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3473419892.9050045 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 62836424.14516877 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2571482.395836448 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 326836588.8724446 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2132652687.9684834 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19872018.55696016 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 36758683.74649356 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1596213.3199597776 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 234003468.41359404 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 37 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1294073141.6927638 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37039315.87624011 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 236615.40601926317 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 194202505.59384477 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1230313911.846218 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35214689.178109236 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 412944.3668867947 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 184632235.00716573 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1256682486.637084 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35969576.9382287 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 391711.07672894886 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 188588414.9278899 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1287544690.9594805 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45450147.13107927 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 275675.427777847 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 240043778.2759085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2721462761.3281446 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47852846.14838241 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 73530940.61852153 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7052067.066600107 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 266198778.2467339 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3550724.162610703 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36325254.279204845 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1569819615.1911554 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 85311519.36694132 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 321745.8265003363 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 287323620.72236013 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3508909046.532814 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848527 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 63531124.58816977 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2591047.4287209706 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 330149477.932068 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2172681217.811344 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19877067.9144771 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 37524906.547044165 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1617792.6559752848 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 237759110.9033291 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 38 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1299653884.1837516 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37201224.903218605 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 237510.07462240543 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 194943733.24607095 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1235619026.4804227 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35368601.66373646 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 414492.8547469719 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 185336854.0917144 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1262100973.87169 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36126778.60042099 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 393230.36108696373 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 189308092.02784744 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1296181111.035811 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 45759480.90646363 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 277417.1613464394 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 241459923.8260442 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2770792344.6462893 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47878240.01200503 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 74845313.1130059 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7105178.44494865 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 270803826.6540301 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3606285.615214395 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36559352.278491795 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1578941235.6526392 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 85747143.53741504 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 323585.41193241446 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 288819350.4816741 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3542785937.8977447 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 64194264.98552973 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2609723.6276670266 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 333311863.3739396 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2213062360.1672063 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19880022.9802884 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 38304706.46957781 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1639754.3680792933 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 241538699.3669063 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 39 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1305683807.3040402 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37376165.60093718 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 238460.3849042602 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 195744620.54104528 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1241351136.989892 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35534902.19392937 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 416148.58569034864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 186098186.26607937 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1267955582.1331346 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36296633.04693622 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 394855.1019890148 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 190085694.2095181 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1305772536.8328645 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46103020.46647795 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 279351.49387470237 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 243032665.17511067 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2840928854.2231927 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47912658.540868364 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 76714025.36141135 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7180689.674578098 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 277351065.2787933 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3666297.370386879 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36812004.06302011 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1588829044.005846 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 86219352.90415062 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 325579.5168481524 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 290440698.5062195 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3595949459.067068 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 65234941.30300838 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2639032.4708939763 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 338274642.9741523 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2269734344.8581023 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19882282.357550938 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 39405411.9848802 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1670753.8295306643 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 246835920.53987828 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 40 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1312667153.7035549 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37578767.10466631 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 239541.99770848168 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 196672140.394318 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1247989580.0732129 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35727497.330151536 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 418045.9722677792 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 186979896.46665442 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1274735892.7029865 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36493344.056044705 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 396717.2514444017 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 190986247.08275518 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1316888584.8980694 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46501167.97261743 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 281593.3016948565 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 244855404.44248113 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2950257325.1768103 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 47965731.25943891 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 79626948.5132085 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7298395.5488752015 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 287556811.501458 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3731170.7027417445 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37085004.16850437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1600220221.0971498 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 86763356.18198158 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 327876.81079059036 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 292308554.07864296 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3688753549.0425954 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 67051582.04610532 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2690195.0061076814 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 346937843.49994093 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2356896888.8680005 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19884034.923072997 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 41104406.49826119 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1718603.0627646588 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 254977378.0465124 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 41 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1319553961.6137981 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37778567.82464863 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 240589.96413790662 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 197586838.11901778 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1254536254.518861 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 35917430.06601089 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 419897.26807054697 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 187849418.06473437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1281422472.528073 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36687335.739954524 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 398534.44040484965 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 191874350.74874142 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1328676326.039776 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 46923373.75214072 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 283970.5719368005 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 246788283.69296238 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3141435971.2907114 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 48058435.00817689 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 84706604.93763316 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7183339.84355794 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 304980162.2148671 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3798877.7202742607 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37369861.213523455 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1611862837.9011924 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 87319366.75895303 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 330224.8133581628 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 294217637.2947813 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3870884624.3522215 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 70616799.18339713 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2790603.162218919 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 363939659.12898123 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2507259104.3564677 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19885419.669956017 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 44041511.69856382 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1801321.5357527738 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 265659948.4735164 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 42 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1326899065.5099604 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 37991664.670956105 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 241687.73144397262 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 198562406.1774081 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1261518589.982439 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36120002.240371384 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 421850.57871172024 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 188776803.6466853 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1288554023.708017 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 36894236.97473766 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 400452.06058277516 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 192821554.98659623 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1341795950.282062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 47393284.06945066 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 286616.4471661369 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 248939556.71187028 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3345162044.5347357 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 44838178.57005816 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 89892320.22420996 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 7072569.78205826 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 322653635.00595903 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3868268.2733136364 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37661763.629001915 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1629570858.310985 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 88165039.55123676 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 333796.04464479093 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 297121286.6546596 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4065123225.803077 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 74419021.23385677 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2897686.150578793 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 382071704.32937294 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2665329137.9879494 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19886009.856438536 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 47132758.15765739 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1888381.1299068374 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 276148067.2798737 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 43 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1334702355.3473446 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38218054.450961605 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 242832.7954150296 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 199598829.95348176 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1268936481.8635473 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36335210.81855636 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 423903.2318288449 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 189762039.3196052 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1296130439.4023197 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37114044.660727486 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 402467.5257303117 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 193827845.6058904 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1356874609.3750725 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 47933361.84516679 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 289657.4070175035 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 251412059.87728515 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3553441081.3677783 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 40915325.69264866 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 95230644.4920916 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6967966.3691909 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 340714792.30793625 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3936345.120554118 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37948121.63711667 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1647793361.8241606 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 89035282.20641765 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 337471.0333313272 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 300109297.57033664 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4264494358.6812477 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 78321712.62471445 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3007598.68362743 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 400682867.9497768 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2826323656.1115413 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19886218.419397537 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 50283017.406644374 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1977102.7169191244 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 286656367.23225313 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 44 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1343327267.3675456 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38468281.21115005 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 244075.01311084084 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 200744380.6212852 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1277135415.2756894 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36573079.047231145 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 426147.13792026584 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 190851012.00982597 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1304504588.5748422 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37356996.265551664 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 404671.1340362993 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 194940090.2472735 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1373831068.4823434 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 48540697.46182791 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 293077.06860998884 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 254192472.81442672 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3765547620.2694235 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 36994328.76318101 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 100740330.3305116 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6870287.362643254 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 359254159.3022255 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3998641.8925072066 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38210157.86017361 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1675698380.4854825 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 90367927.70924778 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 343098.7248175048 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 304684986.07138264 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4468118542.235325 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 82307657.51379994 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3119855.907034309 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 419691051.04272175 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2989566527.929318 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19886278.550995328 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 53478086.12261492 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2067086.284838294 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 297288257.80023575 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 45 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1352498034.948755 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38734344.38430619 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 245370.95479182605 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 201962431.1825337 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1285853244.9798493 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36826001.544021524 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 428506.6085960287 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 192008903.8951005 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1313408723.054343 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37615323.85403827 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 406988.61307850335 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 196122726.9136317 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1391960026.613684 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 49190028.899274066 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 296733.19170982495 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 257165144.72702333 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3981088889.162115 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 33074997.327276386 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 106421716.03345785 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6779546.432254018 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 378413339.1737329 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4051156.361778294 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38431043.402526036 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1721272389.3305094 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 92544382.01037987 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 352289.7762438077 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 312157923.84657246 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4504467902.341082 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 83019196.50492692 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3139895.1684170687 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 423084239.8091159 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3153061855.3654876 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 19886291.735162977 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 56678400.33315615 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2157217.583012721 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 308245118.4034297 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 46 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1362152027.8969731 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39014426.93734058 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 246708.9766334518 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 203244663.1685412 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1295030434.252847 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37092251.02390491 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 430962.56245639257 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 193227807.37789765 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1322782033.6787686 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37887263.225048274 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 409401.26431950094 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 197367679.00359994 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1413039643.88827 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 49945045.16036075 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 300984.3833720796 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 260621647.06689692 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4199135531.4646196 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 29156880.74182521 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 112159208.85205603 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6691072.687354397 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 397806589.40021014 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4092936.351302907 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38606776.06412293 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1812272372.247835 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 96314822.26163344 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 370642.02446559374 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 327079525.59035057 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4545536946.773495 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 83823123.35142316 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3162536.373481657 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 426918007.99125457 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3318609444.5490575 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 15420477.398394994 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 59939722.07951765 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2249067.052604128 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 319180890.1397423 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 47 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1371331955.2127855 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39280755.85358007 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 247956.37537932655 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 204463930.3149637 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1303756973.668717 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37345426.20767205 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 433271.4408702877 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 194386856.076835 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1331695062.790907 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38145848.86545503 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 411669.823652528 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 198551497.04460108 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1435699183.714212 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 50756650.07777802 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 305554.20290550694 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 264337215.1158128 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4418995323.822529 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 25239643.34913559 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 117995137.76348554 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6606576.564165099 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 417529213.95544344 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4123944.174397308 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38737198.71443625 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1907468271.0412307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 100203107.24050383 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 389840.47602947685 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 342497534.42235106 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4587302460.783842 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 84640683.59502436 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3185561.5395259354 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 430816791.14865285 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3474211782.058571 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11935415.556701563 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 63209223.40538129 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2341146.8858631477 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 330299546.36522424 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 48 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1381494075.591286 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39575580.2474987 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 249309.65295738372 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 205813651.1884781 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1313417195.4249253 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37625689.47147074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 435798.0466999201 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 195669915.3657919 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1341561727.9963393 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38432101.48605417 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 414152.7458183195 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 199861975.90961483 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1464023724.583122 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 51771160.38246103 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 311266.5007338112 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 268981694.2120849 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4641344450.686202 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 21323613.02966754 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 123865665.87129803 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6523478.530952083 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 437381453.5974166 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 48296.69789925 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4147422.072943977 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38835949.24299296 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2004806953.997408 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 104196569.59150797 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 409471.0695079005 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 357528514.5300443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4634378770.114002 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 85562202.69602902 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3211514.5264521893 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 435211333.5427302 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3619677285.249822 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 9229653.053567184 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 66529679.85514455 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2434661.781795259 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 341313650.5825484 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 49 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1391988851.9135609 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 39880055.68700166 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 250678.74215477495 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 207207555.0330938 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1323393644.3806584 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 37915127.14857765 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 438377.0941589513 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 196994975.5793662 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1351751377.8878322 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 38727724.56879762 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 416687.6597367463 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 201215353.220658 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1494511325.6792126 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 52863145.79610628 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 317415.029613323 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 273980858.2459031 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4865568784.458804 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 17408491.994202692 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 129794077.3481744 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6442719.458366565 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 457433039.2592794 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 345642.2877795117 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4163316.429907128 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38902802.45617439 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2103361617.2254972 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 108336519.05946673 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 429346.89349151246 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 372273591.74037284 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4685811112.373743 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 10115263.382848779 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 86568991.17363374 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3239868.9774541175 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 440012508.73473555 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3754191367.011047 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 7076979.143303139 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 69898106.55499892 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2529527.676607486 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352318578.7611071 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 50 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1467676609.116488 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 42075916.03044168 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 260347.08681126742 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 217260313.90243483 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1395343191.305525 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 40002534.18320809 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 456758.7464434286 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 206551229.7573675 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1425238548.4549036 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40859741.28541399 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 434758.1005758545 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 210975832.76188993 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1573197084.3593824 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 55628991.43419475 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 331515.15418245486 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 286086023.8371923 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5081299844.243595 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 17218017.434622128 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 135459152.19022164 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6648144.939454728 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 477237211.82616085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 1931480.5527417872 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4248035.358482822 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39259138.063598864 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2193265132.6355414 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 112411461.86262856 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 446702.94770212035 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 386245684.63755065 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4881004898.487127 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9916924.88514606 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90407620.73085342 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3332255.6826007734 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 457771131.4744163 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3869340522.256271 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6938214.84637563 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72163969.3919554 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2582342.3854338676 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 362760322.680472 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 51 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1480113425.6817467 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 42436734.124457456 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 261935.76420674243 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 218912157.24742344 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1407165861.6866245 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 40345534.610262826 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 459779.1993205857 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 208121502.9286843 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1437313824.8874557 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 41210070.34303458 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 437727.4021111636 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 212579656.7717841 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1587285988.2708015 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56050441.440561116 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 331930.1891525585 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 287513225.3602396 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5124451914.472626 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16943859.675207738 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 136534666.94075012 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6668114.727048887 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 480985744.4410239 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2093706.8186695508 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4256698.538095095 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39295576.16916867 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2198552799.52112 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 112466808.03512305 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 447030.6697721479 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 386463356.2433001 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4902483016.018874 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9718586.387443088 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 90877379.3301323 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3329763.981176854 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 459511788.5032864 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3866003698.749986 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6799450.549448059 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72116781.61293183 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2570014.036095914 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 362205401.21108645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 52 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1494189162.4417062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 42845100.72558461 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 263733.7970632912 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 220781680.04457575 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1420546412.081083 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 40733732.39905205 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 462816.7444926199 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 209898691.890618 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1450980322.6169062 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 41606564.06284919 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 441087.98378538183 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 214394824.9223505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1594387352.870827 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56167371.31614442 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 329868.7204635123 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 287590714.56565505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5163902612.423321 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16667907.127929652 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 137585781.86878085 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6687098.562631902 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 484614940.19824725 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2186180.3016199474 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4261635.163195732 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39316340.044581704 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2239750872.185761 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 113519385.5868993 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 454893.2875052758 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 390040155.12897784 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4922663494.853171 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9520247.889740366 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91376264.6317147 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3328092.582797397 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 461357495.61723983 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3862249707.7291727 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6660686.25252055 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72115955.76608625 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2558991.3901539925 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 361818865.7917322 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 53 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1507575374.2405868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 43233462.76357235 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 265443.7500873898 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 222559620.94758427 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1433271492.4428303 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41102913.629492424 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 466067.744846325 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 211588822.09393033 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1463977342.680676 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 41983634.83354738 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 444283.94139723055 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 216121073.83696362 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1600707236.8634844 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56305265.33696611 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 328507.03880243533 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 287697746.98158485 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5202995792.535324 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16391781.220980968 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 138627371.17732185 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6705697.485427373 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 488210761.9012783 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2251637.2874911935 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4265128.531095058 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39331033.449773274 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2256231207.7563863 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 114306428.42434137 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 458216.927790409 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 392742496.33943456 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4942667933.842307 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9321909.392037397 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91871703.95203474 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3326324.1343334126 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 463186769.52787673 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3860795143.047608 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6521921.955593041 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72160141.20672517 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2549236.4090432655 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 361656408.02228785 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 54 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1525629524.3246753 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 43743914.528665334 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 266180.5985555775 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 224416332.58494875 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1450421789.689453 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41587767.38613752 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 467140.04141276545 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 213352115.75654113 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1481488100.2011442 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42478657.72283096 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 446354.16712117253 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 217921197.00034967 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1606955974.7302465 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56493846.58399638 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 328113.731773515 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 287966127.5890491 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5237981639.801622 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 16113663.676717684 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 139559525.6952817 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6719874.349338152 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 491423166.79500824 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2297708.306369131 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4267586.676419957 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39341372.61782172 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2273298866.905304 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115121519.76926531 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 461659.0154394841 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 395541143.15621156 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4962188620.568902 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 9123570.894334678 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92357673.81826144 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3324288.9951214893 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 464970885.48420084 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3856942278.0617795 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6383157.658665532 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72157379.90128802 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2538159.2542675426 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 361270070.5029062 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 55 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1540404952.6268408 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44127489.33185979 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 264761.0601298143 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 225749415.56593657 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1464443418.6382105 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41951644.17070465 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 463983.8482964473 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 214616005.15597162 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1495797431.6219864 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42849936.46624198 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 445276.5790017257 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 219210430.77902544 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1613162462.215541 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56730138.95421315 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 328629.11737751635 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 288387571.3792878 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5265466625.597528 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15831908.980035564 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 140291829.0604312 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6725975.595237387 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 493935371.2228827 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2329978.1828725585 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4269308.079419978 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39348612.984107375 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2291193201.414973 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115976090.2205934 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 465267.82126732124 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398475342.97101194 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4981473499.320656 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8925232.396631707 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 92839027.74164815 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3322123.8558867695 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 466732988.9217645 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3847053702.4712906 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 6244393.361737961 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72036469.51642059 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2523754.6356221493 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 360587826.4267923 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 56 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1547662329.2070103 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44236483.251920186 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 258707.5625913713 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 225901013.26395503 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1471296674.5997512 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42053846.29513658 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 452188.55593311135 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 214753795.190854 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1502774465.0100887 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42953623.39280861 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 437566.1139709136 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 219348027.90725264 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1620045388.508522 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 56995571.79034735 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 329989.68532431306 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 288954535.4942102 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5277852949.700903 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15542832.973112078 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 140621847.30712375 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6715821.238390827 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 495038125.55057377 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2352456.7696126737 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4270506.950145125 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39353655.53513731 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2310232734.2214236 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 116885351.31296277 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 469107.5827803346 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 401597325.1606475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5000658980.445175 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8726893.898928987 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 93318435.95575148 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3319903.9191252436 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 468485813.6564525 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3830492037.4952173 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 10046299.176881973 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71643261.03477345 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2501681.213434797 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 359772658.78424704 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 57 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1554684106.1408143 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44364743.04887736 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 253090.51223656622 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 226077440.02350208 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1477935623.0053759 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42174677.49906922 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 442087.4907216472 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 214916563.58194762 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1509537409.295041 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43076493.89115766 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 430738.01176736754 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 219511820.71382058 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1627334137.8378334 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57280048.70797155 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 331385.30911213864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 289619931.75977063 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5288050418.204526 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 15252695.594575334 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 140893546.2105418 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6703310.303999703 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 495936551.65320873 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2368048.3441060353 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4271338.374531852 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39357152.57581707 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2330829828.8137994 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 117868996.07563014 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 473261.4625997442 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 404974706.48241276 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5017759790.19294 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8528555.401226016 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 93757036.71233895 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3316534.7111112326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 470044035.6945141 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3813499757.2840805 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 13947057.285478687 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71281856.22539406 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2480503.48650723 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 358936296.19502735 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 58 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1562214596.506901 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 44540818.82504638 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 248393.10316653966 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 226398478.64496633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1485070259.7191808 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 42341341.78314904 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 434622.5951917728 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 215218488.61474463 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1516812642.9290411 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 43246364.96675928 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 425495.715434508 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 219818581.65050218 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1634721794.302805 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57568068.21817645 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 332800.87980815425 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 290301546.1919794 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5297179476.453381 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14962040.146086475 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141136778.6475503 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6689649.091986316 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 496735242.3639734 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2378831.6727262638 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4271913.318200175 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39359570.837025516 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2336034181.073223 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 117965054.72115327 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 474236.71957877517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 405298316.49751914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5035228662.679485 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8330216.903523046 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94202842.29974204 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3313368.4146589777 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 471636616.14622927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3796275029.0383916 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 17901176.305285353 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70977553.6411602 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2460933.9446960064 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 358088492.4785651 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 59 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1614258692.8801358 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 46139384.56358997 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 249574.95498725778 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 230483899.14536375 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1534532095.041342 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 43860607.20575617 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 439592.6976189979 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 219100533.4005212 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1567325615.16311 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 44797924.65273429 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 431466.6423384004 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 223782793.0681833 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1642303255.7737725 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57863029.31223938 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 334255.53575960186 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 291014939.54351 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5305403572.317762 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14670945.883184249 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141355899.48397788 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6675013.5744800605 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 497449455.4336443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2386278.472364244 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4272310.318683791 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39361240.654276006 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2341754444.423792 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 118085751.4650514 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 475316.021944426 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 405706522.35089344 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5049824168.282127 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 8131878.405820075 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94592401.70928243 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3308618.042177109 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 472960969.69645804 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3778848340.663759 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 21901657.414276417 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70733770.77330454 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2443068.835713393 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 357230748.2541625 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 60 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1624675401.5310626 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 46441595.09645607 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 250905.58404993959 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 231867434.13371313 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1544434333.0244672 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 44147891.867133476 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 442122.51890660165 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 220415737.00001875 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1577439467.647271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 45091348.69395442 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 433953.63117686316 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 225126103.05675602 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1649943983.1847074 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58160113.15586755 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 335722.1440566054 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 291738050.9490976 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5313219476.104323 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14379653.68877653 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141564144.54865003 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6659938.5870131 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 498125564.0423575 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2391420.224422281 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4272584.406489838 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39362393.49051242 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2348156838.0233455 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 118239024.34942709 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 476532.89162874693 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 406226579.6089206 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5058479266.258849 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7933539.908117073 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94865677.59590153 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3300592.745988483 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 473730790.11693096 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3761309245.8859906 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 25927942.60506473 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70559402.22558327 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2427158.66064477 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 356367471.3696811 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 61 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1635411178.2479293 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 46753062.46211455 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 252276.97082753316 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 233293347.36721513 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1554639880.623715 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 44443976.17567222 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 444729.82965920353 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 221771225.82590318 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1587863111.5875874 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 45393760.43408979 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 436516.7975050523 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 226510559.18208325 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1657732070.719533 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58462475.050246045 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 337218.4709259091 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 292485325.5359421 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5319957776.768883 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 14087838.966813896 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141743678.21436438 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6643703.424649451 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 498701079.1111136 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2394973.3572625625 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4272773.795448553 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39363190.07631026 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2355332858.272743 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 118429242.92043681 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 477905.7809941027 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 406873491.27281994 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5053851131.474106 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7735201.410412597 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94878934.10362384 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3285244.455047256 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 473260629.5293074 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3743542842.1423373 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 30006408.979355816 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70441667.28445786 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2412843.4728639484 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 355493006.30369043 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 62 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1646594005.9100332 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 47077499.711918384 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 253705.4638370631 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 234778637.38133353 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1565270399.7729712 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 44752389.798861615 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 447445.71203729796 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 223183158.87310496 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1598720808.87909 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 45708764.97094721 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 439186.6972309639 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 227952665.7628758 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1665723216.394311 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58772109.95132157 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 338755.7491588105 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 293265896.3125004 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5326351612.965862 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13795857.214734176 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 141914034.05147597 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6627097.403089212 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 499244438.649252 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2397431.761834748 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4272904.824543782 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39363741.195641205 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2363070756.2463517 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 118646294.79447374 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 479391.9859792469 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 407612536.0927988 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5047938628.115999 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7536862.912709626 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94867049.08708641 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3269188.0966880787 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 472670573.9833584 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3737084222.7412887 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 22665617.23213396 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70392426.02753702 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2400457.290883173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 354613811.33652735 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 63 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1647191510.7819195 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 47094834.57955979 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 253781.78903480736 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 234857997.27548704 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1565838394.4852352 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 44768868.51497151 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 447590.8231845738 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 223258599.26257414 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1599300941.8493965 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 45725595.84334318 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 439329.3514988839 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 228029718.34149843 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1673748411.0672574 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59082964.397655316 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 340299.8941585626 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 294052050.2284637 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5331952600.342264 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13503491.011879161 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142063265.41489583 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6609637.780347151 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 499713786.2734643 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2399134.166550783 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4272995.555208745 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39364122.816404596 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2371644639.716197 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 118903270.39422601 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 481046.7867469933 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 408488660.5279437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5041883640.938058 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7338524.415006405 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94852374.94872892 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3253053.1875511333 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 472067217.66690207 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3733919596.241433 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 11885762.44191289 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70403136.9955192 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2389759.559318034 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 353726075.67304945 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 64 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1647637704.9172432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 47107779.60585522 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 253838.7858179523 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 234917260.25561863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1566262551.5445716 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 44781174.199542016 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 447699.18672419235 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 223314935.3041986 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1599734163.3027828 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 45738164.504967906 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 439435.88033355295 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 228087258.30527672 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1681962801.1415684 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59400595.32397406 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 341882.1947805132 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 294869227.20993096 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5336960619.570223 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 13210837.279979356 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142196697.87728095 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6591539.753032653 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 500127780.71252334 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2400312.4488105546 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273058.349828326 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39364386.93582512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2380915806.254255 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 119193545.77978396 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 482842.2107493654 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 409479121.03121704 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5035941564.10601 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 7140185.917303465 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 94839911.03122182 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3236980.5254503856 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 471474401.4566864 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3733917503.069292 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4995514.689390444 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70475754.57662633 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2380805.3201225386 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352831469.0903364 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 65 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1589047026.1997178 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 45413879.32284848 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 242484.9158806791 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 226615928.91910127 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1510565607.405497 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 43170933.94467538 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 429317.69089345593 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 215423598.35294202 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1542846954.5786493 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 44093512.81186644 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 421428.33854773466 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 220027280.52580252 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1690262819.262592 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 59721293.220951274 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 343481.7642756838 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 295700444.9370134 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5341191700.359928 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12917806.812216457 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 142309429.77838242 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6572605.254058125 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 500469248.46134096 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2401125.6800623904 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273101.688254625 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39364569.22086988 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2390791225.751749 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 119512678.16049762 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 484759.49631637486 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 410568663.1136748 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5054986268.998346 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6941847.419600494 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 95316563.54954588 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3234682.979297533 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 473214084.82304674 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3736877709.77564 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4856750.392462998 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 70606359.19961871 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2373484.1853719736 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 351928124.3306282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 66 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1529804554.5761855 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 43714779.803429216 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 231231.8052111365 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 218302825.7528153 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1454249061.479128 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 41555751.23045293 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 410973.4101067355 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 207521070.9341635 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1485326903.0856428 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 42443813.04127957 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 403454.36015158874 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 211955873.15299067 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1698566156.993228 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 60042110.01758428 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 345082.00324679964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 296532206.99268794 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5376808599.748804 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12639995.263839828 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143258397.89764377 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6587461.524715358 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 503740561.65406483 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2401683.653799887 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273131.422867034 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39364694.28713591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2400705868.8534546 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 119833683.72253223 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 486684.69222905237 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 411664636.83471316 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5073810200.162894 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6743508.921897523 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 95788894.42052652 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3232263.721443983 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 474933159.107683 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3761796492.8645616 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4717986.095535426 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71166803.11662832 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2378268.72869781 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 352068172.8727955 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 67 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1469778714.481419 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 41992953.12411183 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 220049.13534305265 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 209885676.50776866 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1397187837.4247777 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 39918963.844216235 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 392620.035189124 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 199519636.24249792 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1427046259.1258066 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 40772046.890380405 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 385468.6417539019 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 203783444.78352842 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1707004706.172207 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 60367769.7314702 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 346709.510729215 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 297386140.1666276 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5411089193.141075 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12361535.74341235 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 144171761.800645 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6600879.094389018 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 506887131.5642946 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402062.825462705 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273151.628695416 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39364779.274539605 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2409821762.455613 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 120116543.81903093 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 488448.8018578344 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 412629636.6638545 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5093022659.539816 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6545170.424194553 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 96268830.73411882 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3230058.657688469 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 476688502.2444204 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3785780351.245233 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4579221.798607918 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 71708945.87560506 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2382537.851654559 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 354280375.100622 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 68 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1409670402.6485307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 40268733.7669573 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 209056.3938523516 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 201457573.46348786 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1340048214.3716302 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 38279901.9388395 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 374459.6126492162 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 191507788.68804407 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1368685540.984402 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 39097957.61978079 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 367669.317302338 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 195600381.05547288 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1715482580.879614 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 60694837.98200325 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 348344.94911267026 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 298246521.6920366 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5444762963.099938 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 12082781.975540394 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 145068957.64572415 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6613643.342538484 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 509977054.9076679 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402316.9452644316 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273165.170414268 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39364836.23214139 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2418960615.580908 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 120400500.38156696 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 490217.54180471273 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 413598401.2504109 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5111999779.747763 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 6346831.926491738 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 96744160.28174946 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3227723.852360983 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 478421876.6251157 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3809339655.5021677 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4440457.50168041 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72242777.98449051 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2386572.919567918 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 356452945.4813072 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 69 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1347478766.2417493 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 38484072.80096955 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 197906.9648484465 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 192752765.70021576 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1280928160.8378038 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 36583383.59775677 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 355909.50039371155 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 183232902.68701047 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1308302069.4157708 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 37365184.036162145 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 349485.10390945873 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 187148657.5968677 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1723922507.680173 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 61020547.03865858 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 349972.7344242937 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 299100680.7596512 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5474987105.52436 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11802355.490317332 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 145874242.44268623 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6622693.634049744 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 512744957.79830015 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402484.1151025645 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273174.078603386 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39364873.700729676 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2342513248.2155757 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115944307.15099794 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 474354.2395060438 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398266839.2385381 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5157180976.426879 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5355139.437977727 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 98157421.15822361 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3177551.2649754058 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 482448875.19860744 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3830485484.0848193 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4301693.204752901 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72729366.28932022 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2389277.4476935877 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 358400219.5012833 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 70 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1284851962.9053504 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 36686786.731017366 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 186886.81324531685 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 183990159.57730114 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1221394433.1776247 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 34874863.703942984 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 337450.1127705072 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 174903072.975179 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1247496083.1722806 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 35620152.416986234 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 331387.04353244806 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 178640816.23621225 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1732358456.221985 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 61346113.60458431 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 351599.7174281618 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 299954187.49755365 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5499268521.160841 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11519047.389002558 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 146521190.6533649 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6625345.834931604 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 514958111.066933 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402591.5024350975 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273179.801054202 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 39184524.80881702 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2343359335.7111845 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115984713.31266217 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 474524.87259012763 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398405575.3156956 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5198132472.338212 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5355139.437977727 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 98959046.98751514 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3200127.670677825 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 486271670.303914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3847473580.738916 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4162928.907825392 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73134566.96110184 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2389689.8343170853 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 359959371.9908499 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 71 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1222191734.765986 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 34888530.93753216 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 176062.59093046226 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 175223114.01137906 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1161828930.5206165 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 33165421.950927306 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 319195.3081462095 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 166569022.9456501 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1186657643.404767 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 33874179.25311346 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 313486.8152253213 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 170128664.43667585 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1740910240.396978 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 61675829.09719721 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 353250.061362713 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 300826688.23007745 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5512201114.270421 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 11230236.266805345 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 146865763.56035408 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6615779.6051745815 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 516111859.2456818 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402658.5168326916 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273183.372101173 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38819506.18397443 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2343970649.153432 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 116013907.4916335 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 474648.15806418785 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398505814.6282037 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5241001288.046285 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5355139.437977727 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 99798204.3696363 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3223761.083042614 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 490273445.9463457 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3856521658.7020264 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4024164.6108978833 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73384341.70867257 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2385724.919401583 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 360777328.9779698 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 72 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1158606249.0441942 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 33063431.48388577 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 165287.46295782836 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 166333176.82187194 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1101383869.6290135 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 31430462.371535633 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 300893.5275538943 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 158118151.0261526 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1124920847.989868 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 32102142.910553753 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 295537.6591797222 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 161497194.09691828 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1749356120.381121 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 62001751.38117791 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 354879.0472712964 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 301681823.4630902 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5523459415.266392 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10940613.283779174 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 147165727.03009847 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6604410.7899942 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 517109313.3610682 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402698.956952166 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273185.527059811 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 38279441.17175174 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2344412632.0246654 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 116035015.03835703 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 474737.294117873 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398578288.184469 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5286582486.741926 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5355139.437977727 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 100690456.66897728 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3248889.8212789977 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 494528420.7498298 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3864398345.479426 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3885400.3139703744 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73611186.4651769 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2381114.2210642113 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 361485937.37130874 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 73 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1095252437.1421916 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 31245053.37292793 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 154750.9677782344 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 157474010.27655813 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 1041159038.7852358 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 29701892.12704201 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 282870.10399393865 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 149696529.80251914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1063408989.8567225 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 30336632.46960633 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 277858.7151053389 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 152895599.66229713 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1757924890.312352 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 62332075.25875334 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 356532.8167758829 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 302557109.4125094 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5533897267.799966 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10650592.46696797 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 147443830.6679184 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6592158.659156456 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 518030179.1541868 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402722.4780426817 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4273186.780441773 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 37584534.52755505 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2344733114.8424315 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 116050320.17004961 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 474801.9268797034 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398630838.9302948 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5335938230.411606 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5355139.437977727 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 101656595.71392484 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3276099.4515244793 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 499135746.83451647 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3871701018.8637223 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3746636.0170428655 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 73826794.90529397 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2376187.07136736 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 362140961.99339086 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 74 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 1031623158.449386 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 29418683.393480193 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 144371.32088338688 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 148578256.55616087 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 980672346.3574338 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 27965724.72959951 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 264983.8086962884 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 141240128.43136096 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 1001629673.9675858 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 28563362.51904163 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 260311.4242963372 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 144258481.80317405 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1766114451.084663 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 62648816.86499961 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 358110.1099956464 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 303370215.04204714 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5543660024.311876 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10360244.297473604 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 147703947.20936015 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6579179.702791598 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 518888025.1794114 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402735.6436084043 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4247352.795482869 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 36761771.24056692 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2344966370.8655834 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 115951898.18286204 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 474848.96834387584 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 398286692.3717973 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5385633285.524713 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5156800.940274982 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 102723651.84851983 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3301796.034840147 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 503736620.1572486 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3878531372.3207703 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3607871.7201152937 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74033157.67936505 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2370999.533524725 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 362751895.8621111 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 75 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 967323886.4867271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 27572875.506159242 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 134088.7340652069 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 139593515.1178709 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 919548752.9516104 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 26211079.500972435 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 247128.84882631182 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 132699134.62157981 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 939199845.2665951 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 26771219.829486687 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 242791.9390506669 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 135534963.597672 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1713269040.211411 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 60779446.85986852 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 347378.29156572215 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 294175191.9869457 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5553142433.756558 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 10069760.188258484 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 147956594.25082594 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6565898.917652199 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 519719700.99100846 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402742.737760494 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4198364.4788005045 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 35838729.662948206 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2218651571.7466307 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 109767064.93542446 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 449300.3509810014 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 377044623.6292719 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5374602818.800945 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4958462.442571791 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 102611582.6614982 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3282918.1631081663 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 502668806.11022437 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3885165585.521996 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3469107.4231877853 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74235681.00648735 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2365703.8643190432 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 363344520.167451 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 76 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 902306567.8644747 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 25706235.58149421 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 123899.84938981361 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 130513403.56699477 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 857742574.651638 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 24436631.05508163 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 229296.50698102676 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 124067480.6891801 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 876072845.5136194 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 24958850.74768254 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 225291.6444454026 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 126718847.95322749 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1653422027.7516222 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 58659297.963326536 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 335234.4384721987 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 283832090.5795914 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5561899739.77649 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9778924.477872249 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 148189921.81066757 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6551837.467745129 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 520483688.8766508 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402746.4240962616 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4131438.6763715805 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 34837105.41707275 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 2049513926.8853374 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 101692235.03368667 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 415115.51777025504 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 349469296.0308481 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 5181712349.920324 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4760123.944869071 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 98939602.59614192 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3163781.576843489 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 484624480.93399656 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3891292491.931546 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3330343.1262602764 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74428273.79943547 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2360128.518844782 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 363889787.7187346 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 77 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 836878469.6934959 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 23827678.081856962 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 113854.16664064935 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 121378732.75971559 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 795545904.9843409 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 22650853.636849016 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 211572.2967811663 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 115383962.15276329 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 812547009.3475586 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 23134910.58628272 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 207894.43768615826 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 117849759.32560548 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1617153123.304945 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 57383654.67253952 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 327845.65540159843 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 277355178.22375095 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5570539535.0379 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9488031.786759278 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 148420118.44206166 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6537649.502770189 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 521236707.2105709 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402748.275083832 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 4049349.6056595854 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 33768768.26720435 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1875776206.7790833 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 93416065.03235099 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 380002.97314651735 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 321206166.52119374 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4986540077.694036 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4561785.4471661 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 95222956.2135299 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 3043387.0412357 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 466367150.92199963 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3897337183.854362 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3191578.8293327675 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74619257.24320176 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2354507.8488425426 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 364427380.60196346 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 78 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 771067596.5082462 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 21938015.477439772 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 103957.72486459355 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 112193222.22535408 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 732985365.3600605 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 20854519.589139804 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 193965.63493826217 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 106652114.83673236 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 748649527.0925568 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 21300188.19353321 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 190609.53562957502 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 108931309.10167085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1566192250.6448956 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 55581783.8528572 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 317493.8976262299 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 268469169.82762855 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5578821808.309975 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 9196965.73396331 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 148640789.34337723 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6523076.620539 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 521956351.10283864 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.17390191 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3952569.55871197 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 32636267.559061196 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1699495406.4628658 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 85022099.35878712 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 344377.557665391 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 292540615.3700077 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4786228591.987523 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4363446.9494633805 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 91405709.68928503 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2920159.277149274 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 447630078.7247632 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3903131741.345081 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3052814.5324052586 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74805344.30362204 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2348749.280697088 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 364941623.6011059 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 79 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 704561551.4725268 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 20028184.48179612 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 94167.33360123784 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 102915379.78364341 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 669763989.238511 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 19039013.29070632 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 176397.1624745145 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 97832495.99457078 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 684077085.242272 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 19445883.80940915 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 173358.97668586244 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 99923211.53834233 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1510889862.3916693 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 53624411.40200618 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 306266.5729631497 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 258871267.15890425 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5587016126.082827 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8905857.031725273 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 148859116.77948084 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6508409.043182927 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 522667784.4073261 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.5953271994 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3840336.478294997 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 31437142.925084934 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1528991982.6158988 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 76559866.57131994 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 309768.64187948883 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 263641836.66742212 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4580159565.971583 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4165108.4517604103 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 87475759.2711828 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2793757.403399107 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 428355543.9410285 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3908864762.204475 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2914050.235477813 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 74990226.784032 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2342956.7876452217 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 365450122.1963434 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 80 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 637685232.6013324 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 18107611.066749655 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 84532.47735250268 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 93588358.00671117 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 606190626.7353792 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 17213295.13020543 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 158954.26483934338 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 88966126.73529942 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 619145134.9282495 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 17581149.331861455 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 156228.5359201666 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 90867364.48380154 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1452737640.27664 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 51564965.423015215 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 294464.51348423783 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 248806066.75496706 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5595141667.879972 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8614714.980156975 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 149075611.7649939 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6493667.419864209 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 523372797.5198903 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.7853483846 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3711979.8220585035 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 30169306.291849274 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1529002376.1346536 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 75954212.05591881 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 309770.7379725864 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 260915865.58611044 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4369781155.325754 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3966769.95405769 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 83461452.61728974 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2664979.782600141 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 408678730.94734275 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3914549665.0735383 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2775285.938550304 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 75174167.35442775 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2337137.767331732 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 365954129.00895345 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 81 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 570575914.3420538 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 16180277.851502365 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 75074.13236982805 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 84230389.52516411 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 542395772.2256216 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 15381151.022738844 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 141673.93640258757 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 80070339.16828078 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 553986959.3544981 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 15709851.585763047 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 139254.5248811875 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 81781470.45640475 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1392087674.706131 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 49416056.865062565 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 282158.7263515425 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 238331302.1741376 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5626563438.546201 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8334869.222423969 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 149912805.88139993 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6504007.108365261 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 526252498.2161673 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.867272279 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3567896.410479325 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 28835001.760146733 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1529008734.7060976 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 75917252.2519944 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 309772.02032537095 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 260782751.74758092 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 4155788392.292498 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3768431.4563547196 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 79376394.9888583 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2534209.5833345964 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 388664520.5446485 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3936533394.7337937 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2636521.6416227953 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 75677157.57900752 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2340304.227074852 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 367979620.5413037 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 82 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 503431720.2163839 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 14251932.814333249 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 65820.68740547284 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 74867788.87207243 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 478567762.23728627 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 13548045.005403783 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 124607.56616449193 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 71170147.92960301 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 488794920.82759494 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 13837571.404477162 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 122487.41216261247 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 72691078.79140815 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1329273591.9374633 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 47189635.34023657 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 269416.49500503077 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 227501679.34034467 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5656797250.390803 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 8054447.425882761 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 150718348.30807266 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6513067.810219938 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 529021303.7407892 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.900821418 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3409925.3188574505 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 27442315.149531998 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1353443648.8626606 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 67609055.98068675 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 274290.94519727875 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 232409902.62608835 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3929065701.014294 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3570092.958651749 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 75042148.92150603 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2396421.423952507 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 367461979.74515843 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3957685988.3686604 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2497757.344695287 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 76163878.30978402 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2343012.484747592 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 369927526.0744374 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 83 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 435454248.8698209 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 12299412.659918344 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 56665.70092009099 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 65394513.318805054 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 413947630.92301923 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 11691957.889525358 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 107556.52177022677 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 62164748.06830085 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 422793832.4460451 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 11941818.992577787 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 105732.00116257394 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 63493230.07651863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1264628264.8243527 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 44897623.47569676 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 256304.95094343316 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 216371780.63915834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5686311209.125946 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7773676.5740381135 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 151504711.14126164 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6521353.499929752 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 531722911.452922 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.913784908 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3241078.942180457 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 26004054.673700854 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1258170181.5574057 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 62677990.14248962 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 255002.52930166596 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 215312824.98391446 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3700649285.7770743 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3371754.4609487783 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 70674748.1952124 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2257699.521114496 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 346101330.9323672 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3978334948.5093637 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2358993.047767778 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 76640740.41121207 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2345443.091226441 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 371828417.75341225 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 84 PV_ICE
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 394397603.89090663 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 11186868.004461732 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 51014.34537075224 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 58163066.91089978 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 374918732.9821275 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 10634360.714928582 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 96989.60402001892 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 55290455.5908389 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 382930871.95274585 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 10861620.558750957 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 95347.46798943134 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 56472031.3499594 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1198255515.8823276 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 42543739.91995888 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 242845.03237481203 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 204958630.23013434 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5712955715.867476 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7491514.330777542 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 152214620.9842014 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6526549.864727454 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 534156657.7159927 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.918481549 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 3064745.332881041 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 24534466.81448861 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1166073804.2435434 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 58127308.31598979 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 236354.84697847537 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 199681676.6625427 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3454882873.092805 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3173415.9632458077 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 65967721.141423345 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 2109412.6319102896 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 323121071.31314087 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3996976343.335857 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2220228.750840269 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 77078304.40686506 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2346766.9347263146 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 373541904.53579044 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 85 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 394397606.71029073 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 11186868.086257968 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 51014.3457309 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 58163067.28536706 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 374918735.662265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 10634360.792684989 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 96989.6047047398 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 55290455.94681161 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 382930874.6901591 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 10861620.638169043 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 95347.4686625592 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 56472031.7135394 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1130542394.9652157 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 40141847.777351886 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 229114.7968412014 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 193325694.10072288 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5734905960.448764 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 7207075.849375595 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 152799458.0327665 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6526692.267630037 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 536152197.70576704 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2402749.9200670137 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2883750.600322657 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 23045379.080698766 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1151646398.4715784 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 57285823.27626532 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 233370.90655029975 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 196786195.14067227 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 3176772716.1655617 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2975077.4655428054 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 60627565.05645057 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1943294.7618278412 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 297121544.52362496 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 4012333474.160127 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2081464.45391276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 77451578.91054522 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2346280.1762073636 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 374948807.4419796 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 86 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 394397607.86467373 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 11186868.11974904 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 51014.345878360764 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 58163067.438690856 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 374918736.75963426 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 10634360.824521966 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 96989.60498509543 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 55290456.09256291 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 382930875.8109795 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 10861620.67068639 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 95347.46893816811 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 56472031.86240544 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 1061395636.5922167 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 37688606.524483606 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 215095.43520440898 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 181457679.16716352 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 5370109901.587111 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 6735104.874712335 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 143079919.3915107 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 6110453.775311279 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 502045225.61641675 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2399124.7134056017 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2699817.8260719995 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 21543983.231662203 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1136022834.978271 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 56387213.95269367 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 230145.73329206495 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 193694575.23977825 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2830670786.2841997 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2776738.9678395838 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 53956469.51636954 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1739693.2907647882 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 264775030.6200633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3757109857.886956 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1942700.156985251 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 72528233.30185279 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2196623.30023792 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 351097176.2561805 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 87 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 394397608.3108866 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 11186868.13269461 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 51014.34593535993 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 58163067.49795633 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 374918737.1838091 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 10634360.83682817 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 96989.6050934635 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 55290456.14890131 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 382930876.24421906 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 10861620.68325558 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 95347.46904470141 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 56472031.919947825 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 991133813.9599565 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 35195426.6125338 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 200851.19510705903 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 169406823.0476831 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4988518957.340487 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 6254990.094401178 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 132912901.85483025 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5676133.482728412 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 466370462.06511676 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2353495.57304266 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2513668.2553127077 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 20033280.61231097 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1118726237.5400836 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 55408706.41482461 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 226583.1540997235 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 190328621.8123387 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2476341579.354626 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2578400.47013561 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 47124324.96762446 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1531556.1537434459 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 231660505.83606866 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3490135973.8169737 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1803935.8600576792 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 67374876.11470929 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 2040488.5471610776 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 326148665.32960325 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 88 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 326995052.9448915 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 9251027.494877806 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 42355.57925914147 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 48766151.60887201 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 310845189.4455108 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 8794131.255156074 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 80527.38344359104 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 46357652.87513474 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 317488020.41276294 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 8982063.766697435 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 79163.96154655419 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 47348326.99563282 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 919978433.5095358 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 32670241.817661118 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 186426.74843874425 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 157209446.967757 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4596096902.992755 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 5769623.330906303 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 122457302.82008232 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 5230152.141856285 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 429684621.53706354 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2269587.547956529 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2325484.1486264546 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 18514024.796119414 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1099126163.6382651 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 54320192.94630274 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 222556.02567914754 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 186584958.88084757 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2120037748.1551297 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2380061.972432639 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 40253527.13428824 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1322330.4140131895 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 198361651.1802126 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 3215584280.1158137 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1665171.56313017 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 62073183.24836177 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1880176.1769964492 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 300492770.87716585 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 89 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 319417810.13779265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 9050844.461893592 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 41338.89054080202 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 47315163.35277458 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 303642088.25351214 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 8603832.42714507 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 78594.40927832983 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 44978315.406794146 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 310131032.6023951 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 8787699.526146669 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 77263.72599320649 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 45939518.72715088 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 847669678.026495 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 30103746.172908355 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 171769.69705762752 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 144822947.74355966 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 4195679635.520458 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 5280379.704884085 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 111788681.24569462 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4775562.951423227 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 392252433.14263076 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 2148069.8511631796 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 2135296.7448777934 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 16986343.613327872 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 1076409825.6978848 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 53082857.67250765 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 217900.4306443275 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 182330310.67857814 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1763817288.2326193 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 2181723.474729951 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 33384361.294311535 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 1113150.636544918 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 165070579.1780175 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2935438865.8769536 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1526407.2662026612 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 56661993.261392064 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1716780.010373482 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 274314706.30575955 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 90 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 310000815.0664419 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 8797286.362873355 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 40087.19209789564 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 45619821.36530335 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 294690189.03298146 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 8362797.305954666 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 76214.65262936764 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 43366704.641665615 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 300987827.961654 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 8541513.3946118 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 74924.2610436253 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 44293467.240641534 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 774612602.5350999 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 27510447.680293426 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 156961.7296641956 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 132313743.73653077 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3790469013.218004 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 4788811.790887082 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 100992346.6756174 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 4315813.113409233 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 354372788.239591 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 1990005.1130100703 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1943161.9155692912 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 15450471.456774168 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 983254469.0342779 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 48481602.718498155 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 199039.18067787806 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 166525517.62008482 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1537840756.3027937 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1983384.977027231 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 29064721.301685777 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 975773.8319204081 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 143937691.86105072 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2651939859.0646124 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1387642.969275152 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 51185156.675157815 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1551535.0211589835 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 247823586.08181137 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 91 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 300824138.23247224 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 8550700.399199344 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 38866.19187663178 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 43956398.16340034 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 285966738.98527914 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 8128389.973691342 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 73893.26011804192 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 41785436.22691466 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 292077954.53261715 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 8302096.690175879 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 72642.17206626465 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 42678406.53116978 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 700646717.9999387 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 24884598.046102803 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 141970.47993792457 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 119655518.96952523 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 3380186514.888213 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 4294784.534555191 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 90060878.25791802 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 3850602.764817851 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 316019687.0580795 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 1797917.10133234 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1749214.0739090447 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 13906973.621509152 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 888742786.9788705 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 43815574.43628289 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 179904.39637151072 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 150498322.9008156 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1308763851.5093176 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1785046.479324511 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 24684391.48747581 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 836687.8037492523 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 122515386.78426753 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2364892396.8631835 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1248878.6723476432 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 45638859.04861187 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1384333.7822377465 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 221001219.89014116 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 92 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 285431875.74425167 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 8123787.278877908 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 36851.21351982709 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 41467428.18718355 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 271334684.7530712 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 7722561.660105328 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 70062.33888487998 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 39419393.95551521 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 277133207.85316736 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 7887595.6743798135 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 68876.11222430832 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 40261801.05626418 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 625659882.383194 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 22222180.638487805 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 126773.33184694122 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 106829885.10033241 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2968108921.849028 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 3799886.8404619214 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 79081581.76760425 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 3383459.7716596145 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 277499014.97064817 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 1575973.6387901367 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1553675.309385756 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 12356784.23171533 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 793437424.7787998 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 39111642.783083424 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 160609.5481337379 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 134340985.53040588 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1080220290.2734377 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1586707.981621791 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 20314501.877324235 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 697895.8058148338 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 101142868.97644863 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 2076589025.9090276 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1110114.375420134 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 40067976.999004245 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1216440.1656874248 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 194061615.44561127 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 93 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 257462814.99269196 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 7331994.902326596 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 33229.6765229094 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 37308022.6615196 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 244746987.5586924 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 6969875.106413565 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 63176.99297274854 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 35465417.25101581 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 249977321.6840655 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 7118823.929149259 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 62107.34222188299 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 36223326.40005569 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 550008902.8332542 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 19535975.34787985 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 111442.24379326517 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 93895349.10880987 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2554172135.714167 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 3304087.6274310797 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 68052749.38265571 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 2914315.123983471 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 238804788.43525833 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 1329821.2782578634 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1356846.5127271877 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 10801168.85889502 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 697674187.675926 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 34385844.63565201 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 141222.35884708387 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 118108568.72889024 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 849319980.012856 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1388369.4839191022 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 15898478.887699237 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 557804.5412748375 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 79550350.2032053 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1786984900.811011 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 971350.0784926252 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 34471632.67747396 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 1047829.4484176496 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 167000586.46056834 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 94 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 200186354.70602602 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 5689933.489054463 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 25864.41596801617 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 29256042.80809548 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 190299353.53386575 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 5408913.4403716875 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 49173.99735505925 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 27811116.512331214 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 194366121.50040546 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 5524503.932605425 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 48341.431569049564 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 28405450.41249598 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 473540522.4897439 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 16820492.917989336 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 95946.30799149752 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 80826780.90414095 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 2140062245.9812677 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 2808204.4768188247 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 57019304.86698585 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 2444984.1085761376 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 200094402.79328233 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 1066506.482907664 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 1159103.1724800114 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 9241706.839271538 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 600553118.1970782 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 29595201.191753324 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 121561.33130234906 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 101653503.16086356 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 617820269.6279353 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 1190030.9862164683 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 11470722.636236541 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 417382.8297687972 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 57901877.82410578 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1497259666.6022797 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 832585.781565179 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 28872917.644211665 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 879151.9641644012 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 139928252.02000186 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 95 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 139761661.02250704 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 3956535.231839287 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 18097.00047202399 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 20785918.298619285 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 132858974.15218559 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 3761125.9640536583 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 34406.41590080993 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 19759322.856144454 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 135698219.88703442 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 3841502.6261736145 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 33823.880297558804 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 20181586.937077817 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 396157023.21821356 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 14072233.34312114 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 80265.81732300276 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 67608157.28457712 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1726445324.4480703 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 2312560.3654807983 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 45998994.87771652 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1976183.8352560042 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 161430035.40726885 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 795090.7997415351 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 960928.1560113261 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 7680429.1533658095 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 503259104.2973495 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 24796298.530853476 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 101865.42552095065 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 85170079.26034653 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 574247644.2899442 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 991692.4885137171 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 10721640.455256287 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 380564.5920845075 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 53796274.756238066 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 1207879329.5589077 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 693821.48463767 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 23280953.97549522 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 710664.6203820357 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 112888113.50210504 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 96 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 79112388.44932173 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 2216621.4707167903 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 10300.897296701523 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 12285965.48522192 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 75205107.67185102 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 2107144.7799142394 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 19584.29281589843 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 11679174.09466986 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 76812268.84195563 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 2152175.2490839935 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 19252.71083223543 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 11928762.392663024 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 318027160.366006 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 11297240.994467076 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 64434.8052010179 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 54267149.68482036 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1398375328.26674 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 1858397.7836603276 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 37257976.63626024 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1599485.555010766 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 130751417.02093108 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 528216.6808714414 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 762995.148240897 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 6120169.3762804875 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 405197791.09364134 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 19960752.355094153 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 82014.77611394267 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 68560838.47212037 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 527088040.3002071 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 793353.9908109658 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 9902343.140814794 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 341768.86696804425 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 49355829.59951422 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 978350504.3917499 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 555057.1877101611 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 18860584.091481056 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 575173.1831892446 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 91435074.10119747 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 97 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 18736578.25482504 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 484641.4258910421 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 2539.726171494601 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 3822333.6232490176 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 17811197.618279744 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 460705.47612174955 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 4828.583333992185 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 3633552.439973979 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 18191829.549435884 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 470550.9239767251 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 4746.830510305151 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 3711202.806863618 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 239521153.74626684 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 8508776.168713765 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 48527.93500117945 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 40864464.40867762 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 1063902250.9349763 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 1401130.3608575265 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 28346356.237371292 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 1215893.554934578 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 99475075.23680206 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 284198.7358021875 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 566280.0892890036 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 4565032.393764628 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 305952080.60239017 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 15068643.532424405 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 61925.265639961224 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 51757387.70643563 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 474883715.43066525 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 595015.4931082146 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 8984295.378087863 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 300192.00677741965 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 44444463.07941183 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 744341867.8702598 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 416292.89078265213 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 14352521.867292937 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 437212.04335481965 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 69563847.26813555 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 98 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 13198672.015954461 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 343623.8175750907 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 1783.5420517965995 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 2642207.65097991 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 12546802.960773055 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 326652.5847586697 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 3390.90943011958 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 2511711.692766403 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 12814932.817545846 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 333633.2723633441 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 3333.4978872726374 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 2565387.905960302 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 160204462.42324966 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 5691274.7563082315 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 32457.57150796664 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 27328848.18140429 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 724510377.5484382 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 941477.8238861228 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 19303680.616909977 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 827005.854068324 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 67739567.08856982 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ******************** Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_50PERC = 89096.29153511523 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 372171.6160644166 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 3020858.928767287 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 206642584.54425046 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 10173488.535522547 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 41822.8913332737 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 34943477.78685218 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 415713743.45979846 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 396676.99540546327 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 7929895.022176314 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 254775.01232975913 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 38882858.00143369 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 506891875.86722285 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 277528.5938551433 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 9777095.084270116 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 297353.697577701 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 47371372.17300867 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 99 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_PERC = 7036790.7249252265 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_PERC = 184503.3862535962 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_PERC = 947.6514368308344 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_PERC = 1379206.046354335 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_SHJ = 6689250.749816943 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_SHJ = 175390.9505662923 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_SHJ = 1801.6957825873756 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_SHJ = 1311088.4571258794 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_TOPCon = 6832202.532992897 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_TOPCon = 179139.12063712341 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_TOPCon = 1771.191242145338 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_TOPCon = 1339106.905321098 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
>>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ******************** Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario r_IRENA = 80739580.88008417 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario r_IRENA = 2868465.561295049 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario r_IRENA = 16357.32203437215 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario r_IRENA = 13768932.658938974 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario ex_Circular = 372087267.0041662 tonnes. Recycled surplus End of Sim for Mat glass Scenario ex_Circular = 475506.4666112971 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario ex_Circular = 9913803.841114923 tonnes. Recycled surplus End of Sim for Mat silicon Scenario ex_Circular = 424088.3922314419 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario ex_Circular = 34787601.55547098 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_50PERC = 182573.02126753767 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_50PERC = 1495654.3895300361 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass Recycled surplus End of Sim for Mat glass Scenario h_RecycledPERC = 103131923.88663208 tonnes. ==> Working on Material : silicon Recycled surplus End of Sim for Mat silicon Scenario h_RecycledPERC = 5077700.700001283 tonnes. ==> Working on Material : silver Recycled surplus End of Sim for Mat silver Scenario h_RecycledPERC = 20873.25515819372 tonnes. ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_RecycledPERC = 17440687.463078532 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_life = 347116629.4304322 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_life = 198338.4977027199 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 6690958.291209004 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_life = 204160.87099277283 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_life = 32441235.436517082 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ReMFG surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 260324791.20071763 tonnes. Recycled surplus End of Sim for Mat glass Scenario h_Perovskite_Eff = 138764.29692757165 tonnes. ==> Working on Material : silicon ReMFG surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 5023201.145377176 tonnes. Recycled surplus End of Sim for Mat silicon Scenario h_Perovskite_Eff = 152469.133941383 tonnes. ==> Working on Material : silver ==> Working on Material : aluminium_frames Recycled surplus End of Sim for Mat aluminium_frames Scenario h_Perovskite_Eff = 24327822.49726093 tonnes. ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet 100 PV_ICE >>>> Calculating Material Flows <<<< Working on Scenario: PV_ICE ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: PV_ICE ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_PERC >>>> Calculating Material Flows <<<< Working on Scenario: r_PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_SHJ >>>> Calculating Material Flows <<<< Working on Scenario: r_SHJ ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_SHJ ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_TOPCon >>>> Calculating Material Flows <<<< Working on Scenario: r_TOPCon ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_TOPCon ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet r_IRENA >>>> Calculating Material Flows <<<< Working on Scenario: r_IRENA ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: r_IRENA ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Life >>>> Calculating Material Flows <<<< Working on Scenario: ex_Life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_High_eff >>>> Calculating Material Flows <<<< Working on Scenario: ex_High_eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_High_eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet ex_Circular >>>> Calculating Material Flows <<<< Working on Scenario: ex_Circular ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: ex_Circular ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_EffLife >>>> Calculating Material Flows <<<< Working on Scenario: h_EffLife ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_EffLife ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_50PERC >>>> Calculating Material Flows <<<< Working on Scenario: h_50PERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations Warning: Paths 0 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P0+P2+P3+P4). Warning: Paths B 1 through 4 add to above 100%;Fixing by Updating Landfill value to the remainder of100-(P2+P3+P4). ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_50PERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_RecycledPERC >>>> Calculating Material Flows <<<< Working on Scenario: h_RecycledPERC ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_RecycledPERC ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_life >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_life ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_life ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet h_Perovskite_Eff >>>> Calculating Material Flows <<<< Working on Scenario: h_Perovskite_Eff ********************
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\3178552986.py:11: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
Finished Area+Power Generation Calculations ==> Working on Material : glass ==> Working on Material : silicon ==> Working on Material : silver ==> Working on Material : aluminium_frames ==> Working on Material : copper ==> Working on Material : encapsulant ==> Working on Material : backsheet >>>> Calculating Energy Flows <<<< Working on Scenario: h_Perovskite_Eff ******************** ==> Working on Energy for Material : glass ==> Working on Energy for Material : silicon ==> Working on Energy for Material : silver ==> Working on Energy for Material : aluminium_frames ==> Working on Energy for Material : copper ==> Working on Energy for Material : encapsulant ==> Working on Energy for Material : backsheet
#test with one scenario
#scen='r_Perovskite'
#df_compensate = pd.DataFrame(columns=['underinstalls[W]'],dtype=float)
#for row in range (0,len(sim1.scenario['PV_ICE'].dataIn_m)): #loop over length of years
# print(row)
# Under_Installment = global_projection.iloc[row,0] - ((sim1.scenario[scen].dataOut_m['Installed_Capacity_[W]'][row])/1e6) # MWATTS
# if row==0:
# df_compensate.loc[row,'underinstalls[W]'] = Under_Installment
# else:
# if Under_Installment < 0.7*df_compensate.iloc[row-1,0]:
# Under_Installment = df_compensate.iloc[row-1,0]
# df_compensate.loc[row,'underinstalls[W]'] = Under_Installment
# sim1.scenario[scen].dataIn_m['new_Installed_Capacity_[MW]'][row] += Under_Installment #overwrite new installed
#calculate flows for that scenario with it's bifi factor and modified weibull
# sim1.calculateFlows(scenarios=[scen], bifacialityfactors=bifiPathDict[scen])
#aggregate results - mass
cc_yearly, cc_cumu = sim1.aggregateResults() #have to do this to get auto plots
cc_yearly.to_csv(os.path.join(testfolder, 'cc_13scen_yearly.csv'))
cc_cumu.to_csv(os.path.join(testfolder, 'cc_13scen_cumu.csv'))
#aggregate results - energy
allenergy, energyGen, energy_demands = sim1.aggregateEnergyResults()
allenergy.to_csv(os.path.join(testfolder, 'cc_13scen_allenergy.csv'))
energyGen.to_csv(os.path.join(testfolder, 'cc_13scen_energyGen.csv'))
energy_demands.to_csv(os.path.join(testfolder, 'cc_13scen_energy_demands.csv'))
UnderInstall_df.to_csv(os.path.join(testfolder, 'cc_13scen_underInstalls.csv'))
C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2164: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_'+mat+'_'+self.name+'_'+scen] = self.scenario[scen].material[mat].matdataOut_m[keywd] C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2166: PerformanceWarning: DataFrame is highly fragmented. This is usually the result of calling `frame.insert` many times, which has poor performance. Consider joining all columns at once using pd.concat(axis=1) instead. To get a de-fragmented frame, use `newframe = frame.copy()` USyearly[nicekey+'_Module_'+self.name+'_'+scen] = USyearly[filter_col].sum(axis=1) C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands C:\Users\hmirletz\Documents\GitHub\PV_ICE\PV_ICE\main.py:2255: SettingWithCopyWarning: A value is trying to be set on a copy of a slice from a DataFrame. Try using .loc[row_indexer,col_indexer] = value instead See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy scende_demands.loc[:,colname] = scende_demands.sum(axis=1) #sums module and material energy demands
sim1.saveSimulation(customname='_EnergyAnalysis_withreplacements')
sim1.pickle_Sim()
:) Saved Input and Output Dataframes
#read in saved results files for speed
cc_yearly = pd.read_csv(os.path.join(testfolder, 'cc_13scen_yearly.csv'), index_col='year')
cc_cumu = pd.read_csv(os.path.join(testfolder, 'cc_13scen_cumu.csv'), index_col='year')
allenergy = pd.read_csv(os.path.join(testfolder, 'cc_13scen_allenergy.csv'), index_col='year')
energyGen = pd.read_csv(os.path.join(testfolder, 'cc_13scen_energyGen.csv'), index_col='year')
energy_demands = pd.read_csv(os.path.join(testfolder, 'cc_13scen_energy_demands.csv'), index_col='year')
plt.plot(sim1.scenario['r_PERC'].dataOut_m['EffectiveCapacity[W]'])
#sim1.scenario['PV_ICE'].dataOut_m['irradiance_stc'].head(2)
sim1.scenario.keys()
dict_keys(['PV_ICE', 'r_PERC', 'r_SHJ', 'r_TOPCon', 'r_IRENA', 'ex_Life', 'ex_High_eff', 'ex_Circular', 'h_EffLife', 'h_50PERC', 'h_RecycledPERC', 'h_Perovskite_life', 'h_Perovskite_Eff'])
UnderInstall_df_temp = cc_yearly.filter(like='newInstalledCapacity_').subtract(global_projection[['World_Annual_[MW]']].values)
#Attempt to make the deployment less dumb
UnderInstall_df_cumu = UnderInstall_df_temp.cumsum()
flatinstall = UnderInstall_df_cumu.iloc[-1,:]/(2100-2022)
flatinstall
newInstalledCapacity_sim1_PV_ICE_[MW] 1.499395e+06 newInstalledCapacity_sim1_r_PERC_[MW] 1.450036e+06 newInstalledCapacity_sim1_r_SHJ_[MW] 1.450036e+06 newInstalledCapacity_sim1_r_TOPCon_[MW] 1.450036e+06 newInstalledCapacity_sim1_r_IRENA_[MW] 2.482157e+06 newInstalledCapacity_sim1_ex_Life_[MW] 8.957510e+05 newInstalledCapacity_sim1_ex_High_eff_[MW] 2.403691e+06 newInstalledCapacity_sim1_ex_Circular_[MW] 4.393325e+06 newInstalledCapacity_sim1_h_EffLife_[MW] 1.492914e+06 newInstalledCapacity_sim1_h_50PERC_[MW] 9.843007e+05 newInstalledCapacity_sim1_h_RecycledPERC_[MW] 2.023129e+06 newInstalledCapacity_sim1_h_Perovskite_life_[MW] 2.610987e+06 newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] 4.393325e+06 Name: 2100, dtype: float64
sim1.scenario['h_RecycledPERC'].dataOut_m['WeibullParams'].tail(4)
97 {'alpha': 11.337691281946588, 'beta': 39.02126...
98 {'alpha': 11.337691281946588, 'beta': 39.02126...
99 {'alpha': 11.337691281946588, 'beta': 39.02126...
100 {'alpha': 11.337691281946588, 'beta': 39.02126...
Name: WeibullParams, dtype: object
effective_capacity = cc_yearly.filter(like='ActiveCapacity')
plt.plot(effective_capacity/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Effective Capacity [TW]')
plt.title('Effective Capacity: With Replacements')
plt.ylim(0,)
(0.0, 93.09117368742741)
annual_EoL = cc_yearly.filter(like='DecommisionedCapacity')
plt.plot(annual_EoL/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Annual EoL [TW]')
plt.title('Annual Decommissions [TW]')
plt.ylim(0,)
(0.0, 359.89274550905515)
annual_installs = cc_yearly.filter(like='newInstalled')
plt.plot(annual_installs/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Annual installed [TW]')
plt.title('Annual Installs with Replacements')
plt.ylim(0,)
(0.0, 7.356142992966999)
annual_installs = cc_yearly.filter(like='newInstalled')
posttransinstalls = annual_installs.loc[2051:,].cumsum()
flatinstallslate = posttransinstalls.loc[2100]/(2100-2050)
flatinstallslate
newInstalledCapacity_sim1_PV_ICE_[MW] 2.438298e+06 newInstalledCapacity_sim1_r_PERC_[MW] 2.354934e+06 newInstalledCapacity_sim1_r_SHJ_[MW] 2.354934e+06 newInstalledCapacity_sim1_r_TOPCon_[MW] 2.354934e+06 newInstalledCapacity_sim1_r_IRENA_[MW] 3.831148e+06 newInstalledCapacity_sim1_ex_Life_[MW] 1.527232e+06 newInstalledCapacity_sim1_ex_High_eff_[MW] 3.768612e+06 newInstalledCapacity_sim1_ex_Circular_[MW] 6.216483e+06 newInstalledCapacity_sim1_h_EffLife_[MW] 2.374798e+06 newInstalledCapacity_sim1_h_50PERC_[MW] 1.648428e+06 newInstalledCapacity_sim1_h_RecycledPERC_[MW] 2.931605e+06 newInstalledCapacity_sim1_h_Perovskite_life_[MW] 3.800017e+06 newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] 6.216483e+06 Name: 2100, dtype: float64
annual_installs_modify = annual_installs.copy()
for col in annual_installs_modify:
annual_installs_modify.loc[2051:,col] = flatinstallslate[col]
#annual_installs_modify
#plt.plot(annual_installs_modify)
#decade binning of post 2050 installs by decade
posttransinstalls_annual = annual_installs.loc[2051:,]
posttransinstalls_decades = posttransinstalls_annual.groupby(np.arange(len(posttransinstalls_annual))//10).sum()
posttransinstalls_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
posttransinstalls_decades
#this is the sum each decade, still need to divide by 10 for annual
| newInstalledCapacity_sim1_PV_ICE_[MW] | newInstalledCapacity_sim1_r_PERC_[MW] | newInstalledCapacity_sim1_r_SHJ_[MW] | newInstalledCapacity_sim1_r_TOPCon_[MW] | newInstalledCapacity_sim1_r_IRENA_[MW] | newInstalledCapacity_sim1_ex_Life_[MW] | newInstalledCapacity_sim1_ex_High_eff_[MW] | newInstalledCapacity_sim1_ex_Circular_[MW] | newInstalledCapacity_sim1_h_EffLife_[MW] | newInstalledCapacity_sim1_h_50PERC_[MW] | newInstalledCapacity_sim1_h_RecycledPERC_[MW] | newInstalledCapacity_sim1_h_Perovskite_life_[MW] | newInstalledCapacity_sim1_h_Perovskite_Eff_[MW] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 9.598723e+06 | 1.829276e+07 | 1.829276e+07 | 1.829276e+07 | 3.361530e+07 | 5.449774e+06 | 3.408966e+07 | 5.558189e+07 | 1.982461e+07 | 6.140760e+06 | 2.108907e+07 | 3.763387e+07 | 5.558189e+07 |
| 2061-2070 | 3.075383e+07 | 2.209631e+07 | 2.209631e+07 | 2.209631e+07 | 3.787796e+07 | 5.465408e+06 | 3.640050e+07 | 5.996111e+07 | 3.014608e+07 | 9.637614e+06 | 3.325936e+07 | 4.456806e+07 | 5.996111e+07 |
| 2071-2080 | 3.384679e+07 | 3.355507e+07 | 3.355507e+07 | 3.355507e+07 | 3.932966e+07 | 8.115133e+06 | 3.882365e+07 | 6.740245e+07 | 2.313946e+07 | 1.908279e+07 | 3.144592e+07 | 2.885290e+07 | 6.740245e+07 |
| 2081-2090 | 2.393142e+07 | 2.222434e+07 | 2.222434e+07 | 2.222434e+07 | 3.894029e+07 | 2.630838e+07 | 3.785438e+07 | 6.247821e+07 | 2.276325e+07 | 2.350462e+07 | 2.448514e+07 | 4.800607e+07 | 6.247821e+07 |
| 2091-2100 | 2.378415e+07 | 2.157822e+07 | 2.157822e+07 | 2.157822e+07 | 4.179418e+07 | 3.102292e+07 | 4.126242e+07 | 6.540049e+07 | 2.286648e+07 | 2.405564e+07 | 3.630078e+07 | 3.093992e+07 | 6.540049e+07 |
annual_installs_decademod = annual_installs.copy()
for col in annual_installs_decademod:
annual_installs_decademod.loc[2051:2060,col] = posttransinstalls_decades.loc['2051-2060',col]/10
annual_installs_decademod.loc[2061:2070,col] = posttransinstalls_decades.loc['2061-2070',col]/10
annual_installs_decademod.loc[2071:2080,col] = posttransinstalls_decades.loc['2071-2080',col]/10
annual_installs_decademod.loc[2081:2090,col] = posttransinstalls_decades.loc['2081-2090',col]/10
annual_installs_decademod.loc[2091:2100,col] = posttransinstalls_decades.loc['2091-2100',col]/10
#plt.plot(annual_installs_decademod)
annual_installs_decademod_GW = np.round(annual_installs_decademod/1e3,2)
annual_installs_decademod_GW.to_csv(os.path.join(testfolder, 'cc_annual_installs_decademod_GW.csv'))
#annual_installs_TW = cc_yearly.filter(like='newInstalled')
annual_installs_decademod_TW = annual_installs_decademod/1e6
fig_installs_annual, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
ax1.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(annual_installs_decademod_TW.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Annual installed [TW]', fontsize=20)
ax1.set_xlim(2000,2100)
ax1.set_ylim(0,8.5)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax1.xaxis.set_minor_locator(MultipleLocator(10))
ax1.grid(axis='both', which='both', color='0.9', ls='--')
#Extreme
ax2.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
ax2.set_prop_cycle(color=colorpalette[5:8])
#ax2.plot(annual_installs_TW.iloc[:,4:7], label=scennames_labels_flat[4:7], ls='--')
ax2.plot(annual_installs_decademod_TW.iloc[:,5:8], label=scennames_labels_flat[5:8]) #, color=colorpalette[4:7])
ax2.xaxis.set_minor_locator(MultipleLocator(10))
ax2.grid(axis='both', which='both', color='0.9', ls='--')
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_installs_decademod_TW.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
ax3.plot(global_projection['World_Annual_[MW]']/1e6, label='Minimum Deployment', ls='dashdot')
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(annual_installs_decademod_TW.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
ax3.xaxis.set_minor_locator(MultipleLocator(10))
ax3.grid(axis='both', which='both', color='0.9', ls='--')
#overall figure
fig_installs_annual.suptitle('Annual Installs with Replacements Decade Average Post 2050', fontsize=20, y=1)
plt.show()
fig_installs_annual.savefig('energyresults-annualInstalls-decade.png', dpi=300, bbox_inches='tight')
cumu_installs_annually = cc_cumu.filter(like='newInstalled')
plt.plot(cumu_installs_annually/1e6)
plt.legend(sim1.scenario.keys())
plt.ylabel('Cumulative installed [TW]')
plt.title('Replacements Adjusted Deployment Curve \n Cumulative Installs with Replacements')
plt.ylim(0,)
(0.0, 452.9839191964825)
cumu_installs = cc_cumu.filter(like='newInstalled')
plt.bar(scennames_labels, cumu_installs.loc[2100]/1e6, tick_label=scennames_labels, color=colorpalette)
#plt.legend(scennames)
plt.xticks(rotation=90)
plt.ylabel('Cumulative installed [TW]')
plt.title('Cumulative Installs with Replacements')
plt.ylim(0,410)
(0.0, 410.0)
total_deploy = cumu_installs.iloc[-1,]/1e6
total_deploy.index = scennames_labels_flat
cumu_installs = cc_cumu.filter(like='newInstalled')
fig_installs_cumu, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_installs.iloc[-1,0:5]/1e6,# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,410)
ax0.set_ylabel('Cumulative installed [TW]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_installs.iloc[-1,5:8]/1e6, #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_installs.iloc[-1,8:]/1e6, #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_installs_cumu.suptitle('Cumulative Installs with Replacements', fontsize=24)
plt.show()
fig_installs_cumu.savefig('energyresults-cumulativedeploy.png', dpi=300, bbox_inches='tight')
cumulative_nameplate_installs = global_projection.loc[2100,'World_Cumu_[MW]'] #MW
print('The nameplate installations for energy transition and through 2100 are '+str(cumulative_nameplate_installs/1e6)+' TW.')
The nameplate installations for energy transition and through 2100 are 88.65829562 TW.
global_projection['World_Annual_[MW]'].sum()
88733909.94022
Additional_installs = cumu_installs.loc[2100]-global_projection.loc[2100,'World_cum'] plt.bar(scennames_labels, Additional_installs/1e6, tick_label=scennames_labels, color=colorpalette)
plt.ylabel('Cumulative Replacements [TW]') plt.title('Replacements Required by Technology') plt.xticks(rotation=90) plt.ylim(0,410)
cumu_virgin_module = cc_cumu.filter(like='VirginStock_Module') plt.bar(scennames_labels, cumu_virgin_module.loc[2100]/1e9, tick_label=scennames_labels, color=colorpalette)
plt.title('Cumulative Virgin Material Demands') plt.ylabel('Virgin Material Requirements\n[billion tonnes]') plt.xticks(rotation=90)
cumu_virgin_module_bt = cc_cumu.filter(like='VirginStock_Module')/1e9
fig_vmat_cumu, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_virgin_module_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,12.5)
ax0.set_ylabel('Cumulative Virgin Material Demand\n[billion metric tonnes]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_virgin_module_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_virgin_module_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_vmat_cumu.suptitle('Cumulative Virgin Material Demands', fontsize=24)
plt.show()
fig_vmat_cumu.savefig('energyresults-cumuMatDemand.png', dpi=300, bbox_inches='tight')
virgin = cumu_virgin_module_bt.iloc[-1,:]
virgin.index=scennames_labels_flat
recycledperc_virginstock = cc_cumu.filter(like='VirginStock').filter(like='Recycled')
recycledperc_virginstock.drop('VirginStock_Module_sim1_h_RecycledPERC_[Tonnes]',axis=1, inplace=True)
plt.bar(recycledperc_virginstock.columns, recycledperc_virginstock.loc[2100]/1e6, tick_label = MATERIALS, color=colormats)
plt.ylabel('Million Metric tonnes')
Text(0, 0.5, 'Million Metric tonnes')
cumu_virgin_module = cc_cumu.filter(like='VirginStock_Module') plt.plot(cumu_virgin_module/1e9) plt.legend(scennames_labels_flat) plt.title('Cumulative Virgin Material Extraction: Module') plt.ylabel('Virgin Material Requirements\n[billion tonnes]') plt.ylim(0,)
annual_virgin_module = cc_yearly.filter(like='VirginStock_Module')
plt.plot(annual_virgin_module/1e6)
plt.legend(scennames_labels)
plt.title('Annual Virgin Material Extraction: Module')
plt.ylabel('Virgin Material Requirements\n[million tonnes]')
plt.ylim(0,)
(0.0, 347.3529790600294)
annual_virgin_module_mt = annual_virgin_module/1e6
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True, gridspec_kw={'wspace':0})
ax1.set_prop_cycle(color=colorpalette[0:5]) ax1.plot(annual_virgin_module_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines ax1.set_title('Business as Usual', fontsize=14) ax1.set_ylabel('Annual Material Demands\n[million metric tonnes]', fontsize=20) ax1.set_xlim(2000,2100) ax1.set_ylim(0,8.5) ax1.legend(bbox_to_anchor=(0.9,-0.05)) ax1.set_ylim(0,450)
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(annual_virgin_module_mt.iloc[:,5:8], label=scennames_labels_flat[5:8])
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14) ax2.legend(bbox_to_anchor=(0.9,-0.05))
ax3.set_prop_cycle(color=colorpalette[8:]) ax3.plot(annual_virgin_module_mt.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')# ax3.set_title('Ambitious', fontsize=14) ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
fig.suptitle('Annual Material Demands', fontsize=24, y=1) plt.show() fig.savefig('energyresults-annualMatDemands.png', dpi=300, bbox_inches='tight')
#do it by decade to match up with annual installs graphs
annual_virgin_module = cc_yearly.filter(like='VirginStock_Module')
virgin_module_annual = annual_virgin_module.loc[2051:,]
virgin_module_decades = virgin_module_annual.groupby(np.arange(len(virgin_module_annual))//10).sum()
virgin_module_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
virgin_module_decades
#this is the sum each decade, still need to divide by 10 for annual
| VirginStock_Module_sim1_PV_ICE_[Tonnes] | VirginStock_Module_sim1_r_PERC_[Tonnes] | VirginStock_Module_sim1_r_SHJ_[Tonnes] | VirginStock_Module_sim1_r_TOPCon_[Tonnes] | VirginStock_Module_sim1_r_IRENA_[Tonnes] | VirginStock_Module_sim1_ex_Life_[Tonnes] | VirginStock_Module_sim1_ex_High_eff_[Tonnes] | VirginStock_Module_sim1_ex_Circular_[Tonnes] | VirginStock_Module_sim1_h_EffLife_[Tonnes] | VirginStock_Module_sim1_h_50PERC_[Tonnes] | VirginStock_Module_sim1_h_RecycledPERC_[Tonnes] | VirginStock_Module_sim1_h_Perovskite_life_[Tonnes] | VirginStock_Module_sim1_h_Perovskite_Eff_[Tonnes] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 5.009334e+08 | 6.487485e+08 | 6.164627e+08 | 6.295855e+08 | 1.082549e+09 | 3.275520e+08 | 1.585994e+09 | 6.059052e+08 | 9.223242e+08 | 3.659999e+08 | 5.704647e+08 | 4.709001e+08 | 1.878424e+08 |
| 2061-2070 | 1.602876e+09 | 7.424418e+08 | 7.058423e+08 | 7.209221e+08 | 1.225461e+09 | 3.284916e+08 | 1.693504e+09 | 5.827687e+08 | 1.402523e+09 | 5.476674e+08 | 7.536152e+08 | 4.634863e+08 | 3.798340e+08 |
| 2071-2080 | 1.764254e+09 | 1.027140e+09 | 9.765059e+08 | 9.973678e+08 | 1.292569e+09 | 4.877501e+08 | 1.806239e+09 | 5.292151e+08 | 1.076545e+09 | 1.037901e+09 | 7.189189e+08 | 5.105587e+08 | 4.218557e+08 |
| 2081-2090 | 1.247773e+09 | 7.563046e+08 | 7.190239e+08 | 7.343843e+08 | 1.294280e+09 | 1.581233e+09 | 1.761145e+09 | 6.130722e+08 | 1.059042e+09 | 1.269438e+09 | 6.316671e+08 | 3.973262e+08 | 4.765945e+08 |
| 2091-2100 | 1.240128e+09 | 7.402188e+08 | 7.037312e+08 | 7.187648e+08 | 1.371497e+09 | 1.864595e+09 | 1.919701e+09 | 6.087144e+08 | 1.063845e+09 | 1.298261e+09 | 7.809846e+08 | 5.230114e+08 | 4.758186e+08 |
annual_virgin_module_decademod = annual_virgin_module.copy()
for col in annual_virgin_module_decademod:
annual_virgin_module_decademod.loc[2051:2060,col] = virgin_module_decades.loc['2051-2060',col]/10
annual_virgin_module_decademod.loc[2061:2070,col] = virgin_module_decades.loc['2061-2070',col]/10
annual_virgin_module_decademod.loc[2071:2080,col] = virgin_module_decades.loc['2071-2080',col]/10
annual_virgin_module_decademod.loc[2081:2090,col] = virgin_module_decades.loc['2081-2090',col]/10
annual_virgin_module_decademod.loc[2091:2100,col] = virgin_module_decades.loc['2091-2100',col]/10
#plt.plot(annual_virgin_module_decademod)
annual_virgin_module_decademod_mt = annual_virgin_module_decademod/1e6
fig_vmat_annual, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(annual_virgin_module_decademod_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Annual Material Demands\n[million metric tonnes]', fontsize=20)
ax1.set_xlim(2000,2100)
ax1.set_ylim(0,8.5)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax1.set_ylim(0,450)
ax1.xaxis.set_minor_locator(MultipleLocator(10))
ax1.grid(axis='both', which='both', color='0.9', ls='--')
#Extreme
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,5:8], label=scennames_labels_flat[5:8])
ax2.xaxis.set_minor_locator(MultipleLocator(10))
ax2.grid(axis='both', which='both', color='0.9', ls='--')
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_virgin_module_decademod_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(annual_virgin_module_decademod_mt.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
ax3.xaxis.set_minor_locator(MultipleLocator(10))
ax3.grid(axis='both', which='both', color='0.9', ls='--')
#overall figure
fig_vmat_annual.suptitle('Annual Material Demands Decade Average Post 2050', fontsize=24, y=1)
plt.show()
fig_vmat_annual.savefig('energyresults-annualMatDemands-decade.png', dpi=300, bbox_inches='tight')
plt.fig_effectiveCap fig_installs_annual fig_vmat_annual
#print out masses for stacked bar charts
#mass_cumu = cc_cumu.loc[[2100]].filter(like='PV_ICE_[Tonnes]')
mass_cumu_virgin = cc_cumu.filter(like='VirginStock').loc[2100]
mass_cumu_wasteall = cc_cumu.filter(like='WasteAll').loc[2100]
mass_cumu = pd.concat([mass_cumu_virgin,mass_cumu_wasteall])
mass_cumu.to_csv(os.path.join(testfolder, 'cc_cumu_mass_2100results.csv'))
cc_cumu.to_csv(os.path.join(testfolder, 'cc_cumu_mass_results.csv'))
cumu_lifecycle_wastes = cc_cumu.filter(like='WasteAll_Module')
plt.bar(scennames_labels, cumu_lifecycle_wastes.loc[2100]/1e9, tick_label=scennames_labels, color=colorpalette)
plt.title('Cumulative Lifecycle Wastes') plt.ylabel('Lifecycle Wastes\n[billion tonnes]') plt.xticks(rotation=90)
cumu_lifecycle_wastes_bt = cc_cumu.filter(like='WasteAll_Module')/1e9
fig_wastes, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_lifecycle_wastes_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,9)
ax0.set_ylabel('Lifecycle Wastes\n[billion tonnes]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_lifecycle_wastes_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_lifecycle_wastes_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_wastes.suptitle('Cumulative Lifecycle Wastes', fontsize=24)
plt.show()
fig_wastes.savefig('energyresults-cumuWaste.png', dpi=300, bbox_inches='tight')
wastes = cumu_lifecycle_wastes_bt.iloc[-1,:]
wastes.index=scennames_labels_flat
annual_waste_module = cc_yearly.filter(like='WasteAll_Module')
plt.plot(annual_waste_module/1e6)
plt.legend(scennames_labels_flat)
plt.title('Annual Waste: Module')
plt.ylabel('Lifecycle Wastes\n[million tonnes]')
plt.ylim(0,)
(0.0, 226.379936067678)
#do it by decade to match up with annual installs graphs
waste_module_annual = annual_waste_module.loc[2051:,]
waste_module_decades = waste_module_annual.groupby(np.arange(len(waste_module_annual))//10).sum()
waste_module_decades.index = ['2051-2060','2061-2070','2071-2080','2081-2090','2091-2100']
waste_module_decades
#this is the sum each decade, still need to divide by 10 for annual
| WasteAll_Module_sim1_PV_ICE_[Tonnes] | WasteAll_Module_sim1_r_PERC_[Tonnes] | WasteAll_Module_sim1_r_SHJ_[Tonnes] | WasteAll_Module_sim1_r_TOPCon_[Tonnes] | WasteAll_Module_sim1_r_IRENA_[Tonnes] | WasteAll_Module_sim1_ex_Life_[Tonnes] | WasteAll_Module_sim1_ex_High_eff_[Tonnes] | WasteAll_Module_sim1_ex_Circular_[Tonnes] | WasteAll_Module_sim1_h_EffLife_[Tonnes] | WasteAll_Module_sim1_h_50PERC_[Tonnes] | WasteAll_Module_sim1_h_RecycledPERC_[Tonnes] | WasteAll_Module_sim1_h_Perovskite_life_[Tonnes] | WasteAll_Module_sim1_h_Perovskite_Eff_[Tonnes] | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2051-2060 | 2.357919e+08 | 3.207727e+08 | 3.052035e+08 | 3.117618e+08 | 7.703344e+08 | 1.996392e+07 | 1.465213e+09 | 2.031266e+08 | 8.458592e+08 | 2.723929e+07 | 1.636081e+08 | 2.530894e+08 | 2.921963e+08 |
| 2061-2070 | 1.593724e+09 | 4.199955e+08 | 3.992836e+08 | 4.078135e+08 | 8.593021e+08 | 1.480207e+07 | 1.581935e+09 | 2.224537e+08 | 1.407541e+09 | 2.351383e+08 | 2.930488e+08 | 3.079606e+08 | 2.919724e+08 |
| 2071-2080 | 1.697324e+09 | 7.184513e+08 | 6.830203e+08 | 6.976122e+08 | 8.748753e+08 | 2.083995e+08 | 1.708246e+09 | 2.566967e+08 | 9.508420e+08 | 8.012642e+08 | 2.755266e+08 | 1.799370e+08 | 3.321790e+08 |
| 2081-2090 | 1.061198e+09 | 4.148051e+08 | 3.943481e+08 | 4.027731e+08 | 8.537108e+08 | 1.570627e+09 | 1.645184e+09 | 2.314842e+08 | 9.192438e+08 | 1.053654e+09 | 1.971797e+08 | 3.411256e+08 | 3.000122e+08 |
| 2091-2100 | 1.041465e+09 | 3.980058e+08 | 3.783771e+08 | 3.864610e+08 | 9.314812e+08 | 1.904776e+09 | 1.826244e+09 | 2.440528e+08 | 9.304769e+08 | 1.085220e+09 | 3.298780e+08 | 1.952122e+08 | 3.161742e+08 |
annual_waste_module_decademod = annual_waste_module.copy()
for col in annual_waste_module_decademod:
annual_waste_module_decademod.loc[2051:2060,col] = waste_module_decades.loc['2051-2060',col]/10
annual_waste_module_decademod.loc[2061:2070,col] = waste_module_decades.loc['2061-2070',col]/10
annual_waste_module_decademod.loc[2071:2080,col] = waste_module_decades.loc['2071-2080',col]/10
annual_waste_module_decademod.loc[2081:2090,col] = waste_module_decades.loc['2081-2090',col]/10
annual_waste_module_decademod.loc[2091:2100,col] = waste_module_decades.loc['2091-2100',col]/10
#plt.plot(annual_virgin_module_decademod)
annual_waste_module_decademod_mt = annual_waste_module_decademod/1e6
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True, gridspec_kw={'wspace':0})
ax1.set_prop_cycle(color=colorpalette[0:5]) ax1.plot(annual_waste_module_decademod_mt.iloc[:,0:5], label=scennames_labels_flat[0:5]) # baselines ax1.set_title('Business as Usual', fontsize=14) ax1.set_ylabel('Lifecycle Wastes\n[million tonnes]', fontsize=20) ax1.set_xlim(2000,2100) ax1.set_ylim(0,225) ax1.legend(bbox_to_anchor=(0.9,-0.05))
ax2.set_prop_cycle(color=colorpalette[5:8]) ax2.plot(annual_waste_module_decademod_mt.iloc[:,5:8], label=scennames_labels_flat[5:8]) #,
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(annual_waste_module_decademod_mt.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14) ax2.legend(bbox_to_anchor=(0.9,-0.05))
ax3.set_prop_cycle(color=colorpalette[8:]) ax3.plot(annual_waste_module_decademod_mt.iloc[:,8:], label=scennames_labels_flat[8:], ls='--')# ax3.set_title('Ambitious', fontsize=14) ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
fig.suptitle('Annual Lifecycle Wastes', fontsize=24, y=1) plt.show() fig.savefig('energyresults-annualwaste.png', dpi=300, bbox_inches='tight')
sim1.scenario['r_IRENA'].dataOut_m.loc[45:,]
| Area | Cumulative_Active_Area | EOL_BadStatus | EOL_Landfill0 | EOL_PATHS | EOL_PG | Effective_Capacity_[W] | Landfill_0_ProjLife | MerchantTail_Area | MerchantTail_[W] | ... | Yearly_Sum_Area_PathsBad | Yearly_Sum_Area_PathsGood | Yearly_Sum_Area_atEOL | Yearly_Sum_Power_EOLby_Degradation | Yearly_Sum_Power_EOLby_Failure | Yearly_Sum_Power_EOLby_ProjectLifetime | Yearly_Sum_Power_PathsBad | Yearly_Sum_Power_PathsGood | Yearly_Sum_Power_atEOL | irradiance_stc | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 45 | 1.759587e+10 | 3.254247e+11 | 1.085587e+09 | 6.172944e+08 | 1.085587e+09 | 0.000000e+00 | 6.265830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.702881e+09 | 0.000000e+00 | 1.702881e+09 | 0.000000e+00 | 2.924088e+11 | 0.000000e+00 | 2.924088e+11 | 0.000000e+00 | 2.924088e+11 | 1000.0 |
| 46 | 1.815381e+10 | 3.411942e+11 | 1.391821e+09 | 8.106720e+08 | 1.573657e+09 | 1.818361e+08 | 6.565830e+13 | 9.367313e+07 | 0.0 | 0.0 | ... | 2.108820e+09 | 1.818361e+08 | 2.384329e+09 | 0.000000e+00 | 3.616472e+11 | 3.920075e+10 | 3.616472e+11 | 2.587249e+10 | 4.008479e+11 | 1000.0 |
| 47 | 1.843063e+10 | 3.569948e+11 | 1.794982e+09 | 8.350284e+08 | 1.794982e+09 | 0.000000e+00 | 6.865830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 2.630011e+09 | 0.000000e+00 | 2.630011e+09 | 0.000000e+00 | 4.488699e+11 | 0.000000e+00 | 4.488699e+11 | 0.000000e+00 | 4.488699e+11 | 1000.0 |
| 48 | 1.954670e+10 | 3.725037e+11 | 2.846628e+09 | 1.191142e+09 | 2.846628e+09 | 0.000000e+00 | 7.165830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 4.037770e+09 | 0.000000e+00 | 4.037770e+09 | 1.458332e+11 | 5.348928e+11 | 0.000000e+00 | 6.807260e+11 | 0.000000e+00 | 5.348928e+11 | 1000.0 |
| 49 | 1.994394e+10 | 3.879124e+11 | 3.299427e+09 | 1.235868e+09 | 3.299427e+09 | 0.000000e+00 | 7.465830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 4.535295e+09 | 0.000000e+00 | 4.535295e+09 | 1.207103e+11 | 6.359102e+11 | 0.000000e+00 | 7.566205e+11 | 0.000000e+00 | 6.359102e+11 | 1000.0 |
| 50 | 2.129507e+10 | 4.028874e+11 | 4.740080e+09 | 1.580027e+09 | 4.740080e+09 | 0.000000e+00 | 7.765830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 6.320107e+09 | 0.000000e+00 | 6.320107e+09 | 3.093332e+11 | 7.336357e+11 | 0.000000e+00 | 1.042969e+12 | 0.000000e+00 | 7.336357e+11 | 1000.0 |
| 51 | 1.086671e+10 | 4.045618e+11 | 6.894170e+09 | 2.298057e+09 | 6.894170e+09 | 0.000000e+00 | 7.787830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 9.192227e+09 | 0.000000e+00 | 9.192227e+09 | 6.925048e+11 | 8.103657e+11 | 0.000000e+00 | 1.502870e+12 | 0.000000e+00 | 8.103657e+11 | 1000.0 |
| 52 | 1.494844e+10 | 4.046979e+11 | 1.110928e+10 | 3.703092e+09 | 1.110928e+10 | 0.000000e+00 | 7.809830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.481237e+10 | 0.000000e+00 | 1.481237e+10 | 1.574192e+12 | 8.247123e+11 | 0.000000e+00 | 2.398904e+12 | 0.000000e+00 | 8.247123e+11 | 1000.0 |
| 53 | 1.544681e+10 | 4.047831e+11 | 1.152120e+10 | 3.840399e+09 | 1.152120e+10 | 0.000000e+00 | 7.831830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.536160e+10 | 0.000000e+00 | 1.536160e+10 | 1.673919e+12 | 8.327343e+11 | 0.000000e+00 | 2.506653e+12 | 0.000000e+00 | 8.327343e+11 | 1000.0 |
| 54 | 1.556364e+10 | 4.049648e+11 | 1.153644e+10 | 3.845480e+09 | 1.153644e+10 | 0.000000e+00 | 7.853830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.538192e+10 | 0.000000e+00 | 1.538192e+10 | 1.689449e+12 | 8.410135e+11 | 0.000000e+00 | 2.530462e+12 | 0.000000e+00 | 8.410135e+11 | 1000.0 |
| 55 | 1.568461e+10 | 4.052380e+11 | 1.155858e+10 | 3.852859e+09 | 1.155858e+10 | 0.000000e+00 | 7.875830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.541144e+10 | 0.000000e+00 | 1.541144e+10 | 1.705614e+12 | 8.495701e+11 | 0.000000e+00 | 2.555184e+12 | 0.000000e+00 | 8.495701e+11 | 1000.0 |
| 56 | 1.580440e+10 | 4.055991e+11 | 1.158248e+10 | 3.860827e+09 | 1.158248e+10 | 0.000000e+00 | 7.897830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.544331e+10 | 0.000000e+00 | 1.544331e+10 | 1.721109e+12 | 8.585375e+11 | 0.000000e+00 | 2.579647e+12 | 0.000000e+00 | 8.585375e+11 | 1000.0 |
| 57 | 1.591006e+10 | 4.059959e+11 | 1.163496e+10 | 3.878319e+09 | 1.163496e+10 | 0.000000e+00 | 7.919830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.551327e+10 | 0.000000e+00 | 1.551327e+10 | 1.732669e+12 | 8.683320e+11 | 0.000000e+00 | 2.601001e+12 | 0.000000e+00 | 8.683320e+11 | 1000.0 |
| 58 | 1.606389e+10 | 4.064130e+11 | 1.173509e+10 | 3.911697e+09 | 1.173509e+10 | 0.000000e+00 | 7.941830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.564679e+10 | 0.000000e+00 | 1.564679e+10 | 1.754781e+12 | 8.781693e+11 | 0.000000e+00 | 2.632950e+12 | 0.000000e+00 | 8.781693e+11 | 1000.0 |
| 59 | 1.616185e+10 | 4.068699e+11 | 1.177871e+10 | 3.926236e+09 | 1.177871e+10 | 0.000000e+00 | 7.963830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.570495e+10 | 0.000000e+00 | 1.570495e+10 | 1.763388e+12 | 8.892206e+11 | 0.000000e+00 | 2.652609e+12 | 0.000000e+00 | 8.892206e+11 | 1000.0 |
| 60 | 1.634640e+10 | 4.073390e+11 | 1.190800e+10 | 3.969333e+09 | 1.190800e+10 | 0.000000e+00 | 7.985830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.587733e+10 | 0.000000e+00 | 1.587733e+10 | 1.791362e+12 | 8.999575e+11 | 0.000000e+00 | 2.691319e+12 | 0.000000e+00 | 8.999575e+11 | 1000.0 |
| 61 | 1.647800e+10 | 4.078383e+11 | 1.198400e+10 | 3.994667e+09 | 1.198400e+10 | 0.000000e+00 | 8.007830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.597867e+10 | 0.000000e+00 | 1.597867e+10 | 1.806994e+12 | 9.113851e+11 | 0.000000e+00 | 2.718379e+12 | 0.000000e+00 | 9.113851e+11 | 1000.0 |
| 62 | 1.657479e+10 | 4.083793e+11 | 1.202532e+10 | 4.008439e+09 | 1.202532e+10 | 0.000000e+00 | 8.029830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.603376e+10 | 0.000000e+00 | 1.603376e+10 | 1.813483e+12 | 9.242976e+11 | 0.000000e+00 | 2.737781e+12 | 0.000000e+00 | 9.242976e+11 | 1000.0 |
| 63 | 1.678316e+10 | 4.089274e+11 | 1.217635e+10 | 4.058784e+09 | 1.217635e+10 | 0.000000e+00 | 8.051830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.623514e+10 | 0.000000e+00 | 1.623514e+10 | 1.845118e+12 | 9.366122e+11 | 0.000000e+00 | 2.781731e+12 | 0.000000e+00 | 9.366122e+11 | 1000.0 |
| 64 | 1.688949e+10 | 4.095142e+11 | 1.222696e+10 | 4.075654e+09 | 1.222696e+10 | 0.000000e+00 | 8.073830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.630262e+10 | 0.000000e+00 | 1.630262e+10 | 1.853074e+12 | 9.501572e+11 | 0.000000e+00 | 2.803231e+12 | 0.000000e+00 | 9.501572e+11 | 1000.0 |
| 65 | 1.706459e+10 | 4.101187e+11 | 1.234510e+10 | 4.115032e+09 | 1.234510e+10 | 0.000000e+00 | 8.095830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.646013e+10 | 0.000000e+00 | 1.646013e+10 | 1.876288e+12 | 9.635729e+11 | 0.000000e+00 | 2.839861e+12 | 0.000000e+00 | 9.635729e+11 | 1000.0 |
| 66 | 1.729587e+10 | 4.107238e+11 | 1.251804e+10 | 4.172681e+09 | 1.251804e+10 | 0.000000e+00 | 8.117830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.669072e+10 | 0.000000e+00 | 1.669072e+10 | 1.913407e+12 | 9.754430e+11 | 0.000000e+00 | 2.888850e+12 | 0.000000e+00 | 9.754430e+11 | 1000.0 |
| 67 | 1.743421e+10 | 4.113568e+11 | 1.260097e+10 | 4.200323e+09 | 1.260097e+10 | 0.000000e+00 | 8.139830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.680129e+10 | 0.000000e+00 | 1.680129e+10 | 1.930314e+12 | 9.870779e+11 | 0.000000e+00 | 2.917392e+12 | 0.000000e+00 | 9.870779e+11 | 1000.0 |
| 68 | 1.763701e+10 | 4.119977e+11 | 1.274702e+10 | 4.249006e+09 | 1.274702e+10 | 0.000000e+00 | 8.161830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.699602e+10 | 0.000000e+00 | 1.699602e+10 | 1.963333e+12 | 9.967841e+11 | 0.000000e+00 | 2.960117e+12 | 0.000000e+00 | 9.967841e+11 | 1000.0 |
| 69 | 1.789304e+10 | 4.126309e+11 | 1.294489e+10 | 4.314962e+09 | 1.294489e+10 | 0.000000e+00 | 8.183830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.725985e+10 | 0.000000e+00 | 1.725985e+10 | 2.011803e+12 | 1.002749e+12 | 0.000000e+00 | 3.014552e+12 | 0.000000e+00 | 1.002749e+12 | 1000.0 |
| 70 | 1.812239e+10 | 4.132633e+11 | 1.311751e+10 | 4.372504e+09 | 1.311751e+10 | 0.000000e+00 | 8.205830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.749001e+10 | 0.000000e+00 | 1.749001e+10 | 2.058656e+12 | 1.004461e+12 | 0.000000e+00 | 3.063117e+12 | 0.000000e+00 | 1.004461e+12 | 1000.0 |
| 71 | 1.825930e+10 | 4.139195e+11 | 1.320235e+10 | 4.400784e+09 | 1.320235e+10 | 0.000000e+00 | 8.227830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.760314e+10 | 0.000000e+00 | 1.760314e+10 | 2.088653e+12 | 1.002692e+12 | 0.000000e+00 | 3.091345e+12 | 0.000000e+00 | 1.002692e+12 | 1000.0 |
| 72 | 1.855990e+10 | 4.145539e+11 | 1.344411e+10 | 4.481370e+09 | 1.344411e+10 | 0.000000e+00 | 8.249830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.792548e+10 | 0.000000e+00 | 1.792548e+10 | 2.162355e+12 | 9.932284e+11 | 0.000000e+00 | 3.155584e+12 | 0.000000e+00 | 9.932284e+11 | 1000.0 |
| 73 | 1.868423e+10 | 4.152136e+11 | 1.351843e+10 | 4.506145e+09 | 1.351843e+10 | 0.000000e+00 | 8.271830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.802458e+10 | 0.000000e+00 | 1.802458e+10 | 2.202916e+12 | 9.781302e+11 | 0.000000e+00 | 3.181046e+12 | 0.000000e+00 | 9.781302e+11 | 1000.0 |
| 74 | 1.920111e+10 | 4.157953e+11 | 1.396450e+10 | 4.654832e+09 | 1.396450e+10 | 0.000000e+00 | 8.293830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.861933e+10 | 0.000000e+00 | 1.861933e+10 | 2.344361e+12 | 9.485054e+11 | 0.000000e+00 | 3.292866e+12 | 0.000000e+00 | 9.485054e+11 | 1000.0 |
| 75 | 1.929221e+10 | 4.164118e+11 | 1.400683e+10 | 4.668943e+09 | 1.400683e+10 | 0.000000e+00 | 8.315830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.867577e+10 | 0.000000e+00 | 1.867577e+10 | 2.400215e+12 | 9.108029e+11 | 0.000000e+00 | 3.311018e+12 | 0.000000e+00 | 9.108029e+11 | 1000.0 |
| 76 | 1.982801e+10 | 4.169514e+11 | 1.446632e+10 | 4.822106e+09 | 1.446632e+10 | 0.000000e+00 | 8.337830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.928842e+10 | 0.000000e+00 | 1.928842e+10 | 2.571587e+12 | 8.554130e+11 | 0.000000e+00 | 3.427000e+12 | 0.000000e+00 | 8.554130e+11 | 1000.0 |
| 77 | 1.432787e+10 | 4.188904e+11 | 9.291596e+09 | 3.097199e+09 | 9.291596e+09 | 0.000000e+00 | 8.359830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.238879e+10 | 0.000000e+00 | 1.238879e+10 | 1.312261e+12 | 9.028165e+11 | 0.000000e+00 | 2.215078e+12 | 0.000000e+00 | 9.028165e+11 | 1000.0 |
| 78 | 1.662625e+10 | 4.202636e+11 | 1.143982e+10 | 3.813274e+09 | 1.143982e+10 | 0.000000e+00 | 8.381830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.525310e+10 | 0.000000e+00 | 1.525310e+10 | 1.805170e+12 | 9.136598e+11 | 0.000000e+00 | 2.718830e+12 | 0.000000e+00 | 9.136598e+11 | 1000.0 |
| 79 | 1.694232e+10 | 4.215698e+11 | 1.172706e+10 | 3.909021e+09 | 1.172706e+10 | 0.000000e+00 | 8.403830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.563608e+10 | 0.000000e+00 | 1.563608e+10 | 1.865353e+12 | 9.211193e+11 | 0.000000e+00 | 2.786472e+12 | 0.000000e+00 | 9.211193e+11 | 1000.0 |
| 80 | 1.704997e+10 | 4.228617e+11 | 1.181859e+10 | 3.939529e+09 | 1.181859e+10 | 0.000000e+00 | 8.425830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.575811e+10 | 0.000000e+00 | 1.575811e+10 | 1.879460e+12 | 9.288037e+11 | 0.000000e+00 | 2.808264e+12 | 0.000000e+00 | 9.288037e+11 | 1000.0 |
| 81 | 1.716093e+10 | 4.241384e+11 | 1.191316e+10 | 3.971052e+09 | 1.191316e+10 | 0.000000e+00 | 8.447830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.588421e+10 | 0.000000e+00 | 1.588421e+10 | 1.894069e+12 | 9.367139e+11 | 0.000000e+00 | 2.830783e+12 | 0.000000e+00 | 9.367139e+11 | 1000.0 |
| 82 | 1.727250e+10 | 4.253999e+11 | 1.200826e+10 | 4.002752e+09 | 1.200826e+10 | 0.000000e+00 | 8.469830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.601101e+10 | 0.000000e+00 | 1.601101e+10 | 1.908535e+12 | 9.449013e+11 | 0.000000e+00 | 2.853437e+12 | 0.000000e+00 | 9.449013e+11 | 1000.0 |
| 83 | 1.737839e+10 | 4.266476e+11 | 1.209798e+10 | 4.032661e+09 | 1.209798e+10 | 0.000000e+00 | 8.491830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.613065e+10 | 0.000000e+00 | 1.613065e+10 | 1.921295e+12 | 9.535456e+11 | 0.000000e+00 | 2.874841e+12 | 0.000000e+00 | 9.535456e+11 | 1000.0 |
| 84 | 1.751073e+10 | 4.278750e+11 | 1.221254e+10 | 4.070846e+09 | 1.221254e+10 | 0.000000e+00 | 8.513830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.628338e+10 | 0.000000e+00 | 1.628338e+10 | 1.939871e+12 | 9.621935e+11 | 0.000000e+00 | 2.902064e+12 | 0.000000e+00 | 9.621935e+11 | 1000.0 |
| 85 | 1.761496e+10 | 4.290890e+11 | 1.230070e+10 | 4.100234e+09 | 1.230070e+10 | 0.000000e+00 | 8.535830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.640094e+10 | 0.000000e+00 | 1.640094e+10 | 1.951700e+12 | 9.714025e+11 | 0.000000e+00 | 2.923103e+12 | 0.000000e+00 | 9.714025e+11 | 1000.0 |
| 86 | 1.776534e+10 | 4.302780e+11 | 1.243225e+10 | 4.144083e+09 | 1.243225e+10 | 0.000000e+00 | 8.557830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.657633e+10 | 0.000000e+00 | 1.657633e+10 | 1.973987e+12 | 9.803059e+11 | 0.000000e+00 | 2.954293e+12 | 0.000000e+00 | 9.803059e+11 | 1000.0 |
| 87 | 1.788739e+10 | 4.314490e+11 | 1.253729e+10 | 4.179095e+09 | 1.253729e+10 | 0.000000e+00 | 8.579830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.671638e+10 | 0.000000e+00 | 1.671638e+10 | 1.989879e+12 | 9.893729e+11 | 0.000000e+00 | 2.979252e+12 | 0.000000e+00 | 9.893729e+11 | 1000.0 |
| 88 | 1.799246e+10 | 4.326061e+11 | 1.262651e+10 | 4.208838e+09 | 1.262651e+10 | 0.000000e+00 | 8.601830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.683535e+10 | 0.000000e+00 | 1.683535e+10 | 2.001567e+12 | 9.989079e+11 | 0.000000e+00 | 3.000475e+12 | 0.000000e+00 | 9.989079e+11 | 1000.0 |
| 89 | 1.815548e+10 | 4.337345e+11 | 1.277037e+10 | 4.256789e+09 | 1.277037e+10 | 0.000000e+00 | 8.623830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.702716e+10 | 0.000000e+00 | 1.702716e+10 | 2.026730e+12 | 1.007719e+12 | 0.000000e+00 | 3.034449e+12 | 0.000000e+00 | 1.007719e+12 | 1000.0 |
| 90 | 1.826314e+10 | 4.348476e+11 | 1.286248e+10 | 4.287493e+09 | 1.286248e+10 | 0.000000e+00 | 8.645830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.714997e+10 | 0.000000e+00 | 1.714997e+10 | 2.039571e+12 | 1.016671e+12 | 0.000000e+00 | 3.056242e+12 | 0.000000e+00 | 1.016671e+12 | 1000.0 |
| 91 | 1.840541e+10 | 4.359365e+11 | 1.298741e+10 | 4.329135e+09 | 1.298741e+10 | 0.000000e+00 | 8.667830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.731654e+10 | 0.000000e+00 | 1.731654e+10 | 2.060716e+12 | 1.024934e+12 | 0.000000e+00 | 3.085650e+12 | 0.000000e+00 | 1.024934e+12 | 1000.0 |
| 92 | 1.857177e+10 | 4.369945e+11 | 1.313530e+10 | 4.378434e+09 | 1.313530e+10 | 0.000000e+00 | 8.689830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.751374e+10 | 0.000000e+00 | 1.751374e+10 | 2.088645e+12 | 1.031711e+12 | 0.000000e+00 | 3.120356e+12 | 0.000000e+00 | 1.031711e+12 | 1000.0 |
| 93 | 1.868330e+10 | 4.380350e+11 | 1.323209e+10 | 4.410697e+09 | 1.323209e+10 | 0.000000e+00 | 8.711830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.764279e+10 | 0.000000e+00 | 1.764279e+10 | 2.105350e+12 | 1.037650e+12 | 0.000000e+00 | 3.143000e+12 | 0.000000e+00 | 1.037650e+12 | 1000.0 |
| 94 | 1.882225e+10 | 4.390506e+11 | 1.335502e+10 | 4.451672e+09 | 1.335502e+10 | 0.000000e+00 | 8.733830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.780669e+10 | 0.000000e+00 | 1.780669e+10 | 2.129841e+12 | 1.041836e+12 | 0.000000e+00 | 3.171677e+12 | 0.000000e+00 | 1.041836e+12 | 1000.0 |
| 95 | 1.897846e+10 | 4.400364e+11 | 1.349451e+10 | 4.498171e+09 | 1.349451e+10 | 0.000000e+00 | 8.755830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.799268e+10 | 0.000000e+00 | 1.799268e+10 | 2.160759e+12 | 1.043392e+12 | 0.000000e+00 | 3.204151e+12 | 0.000000e+00 | 1.043392e+12 | 1000.0 |
| 96 | 1.910757e+10 | 4.409988e+11 | 1.360885e+10 | 4.536284e+09 | 1.360885e+10 | 0.000000e+00 | 8.777830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.814513e+10 | 0.000000e+00 | 1.814513e+10 | 2.188455e+12 | 1.042209e+12 | 0.000000e+00 | 3.230665e+12 | 0.000000e+00 | 1.042209e+12 | 1000.0 |
| 97 | 1.917620e+10 | 4.419529e+11 | 1.366657e+10 | 4.555525e+09 | 1.366657e+10 | 0.000000e+00 | 8.799830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.822210e+10 | 0.000000e+00 | 1.822210e+10 | 2.204988e+12 | 1.038882e+12 | 0.000000e+00 | 3.243870e+12 | 0.000000e+00 | 1.038882e+12 | 1000.0 |
| 98 | 1.931623e+10 | 4.428806e+11 | 1.379138e+10 | 4.597128e+09 | 1.379138e+10 | 0.000000e+00 | 8.821830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.838851e+10 | 0.000000e+00 | 1.838851e+10 | 2.241288e+12 | 1.031496e+12 | 0.000000e+00 | 3.272784e+12 | 0.000000e+00 | 1.031496e+12 | 1000.0 |
| 99 | 1.934779e+10 | 4.438095e+11 | 1.381420e+10 | 4.604734e+09 | 1.381420e+10 | 0.000000e+00 | 8.843830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.841894e+10 | 0.000000e+00 | 1.841894e+10 | 2.256303e+12 | 1.021534e+12 | 0.000000e+00 | 3.277837e+12 | 0.000000e+00 | 1.021534e+12 | 1000.0 |
| 100 | 1.956455e+10 | 4.446933e+11 | 1.401053e+10 | 4.670177e+09 | 1.401053e+10 | 0.000000e+00 | 8.865830e+13 | 0.000000e+00 | 0.0 | 0.0 | ... | 1.868071e+10 | 0.000000e+00 | 1.868071e+10 | 2.318721e+12 | 1.004911e+12 | 0.000000e+00 | 3.323631e+12 | 0.000000e+00 | 1.004911e+12 | 1000.0 |
56 rows × 45 columns
fig_installs_cumu fig_vmat_cumu fig_wastes
# Figure of cumulative capacity and mass metrics
fig_mat_cumu, axs = plt.subplots(3,3,figsize=(15,18),
gridspec_kw={'wspace': 0, 'hspace':0.1, 'width_ratios': [1.5,1,1.5]})
#Cumulative Installs-------------------------------------------------
#BAU
axs[0,0].bar(scennames_labels[0:5], cumu_installs.iloc[-1,0:5]/1e6,# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[0,0].set_ylim(0,410)
axs[0,0].set_ylabel('Total Deployed Capacity\n[TW]', fontsize=20)
axs[0,0].set_title('Business as Usual', fontsize=14)
axs[0,0].set_xticklabels([])
axs[0,0].grid(axis='y', color='0.9', ls='--')
axs[0,0].set_axisbelow(True)
#Extreme
axs[0,1].set_ylim(axs[0,0].get_ylim())
axs[0,1].bar(scennames_labels[5:8], cumu_installs.iloc[-1,5:8]/1e6, #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[0,1].set_title('Extreme', fontsize=14)
axs[0,1].set_xticklabels([])
axs[0,1].set_yticklabels([])
axs[0,1].grid(axis='y', color='0.9', ls='--')
axs[0,1].set_axisbelow(True)
#Ambitious
axs[0,2].set_ylim(axs[0,0].get_ylim())
axs[0,2].bar(scennames_labels[8:], cumu_installs.iloc[-1,8:]/1e6, #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
axs[0,2].set_title('Ambitious', fontsize=14)
axs[0,2].set_xticklabels([])
axs[0,2].set_yticklabels([])
axs[0,2].grid(axis='y', color='0.9', ls='--')
axs[0,2].set_axisbelow(True)
#Virgin Material Demand-------------------------------------------
#BAU
axs[1,0].bar(scennames_labels[0:5], cumu_virgin_module_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[1,0].set_ylim(0,12.5)
axs[1,0].set_ylabel('Virgin Material Demand\n[billion metric tonnes]', fontsize=20)
#axs[1,0].set_title('Baseline', fontsize=14)
axs[1,0].set_xticklabels([])
axs[1,0].grid(axis='y', color='0.9', ls='--')
axs[1,0].set_axisbelow(True)
#Extreme
axs[1,1].set_ylim(axs[1,0].get_ylim())
axs[1,1].bar(scennames_labels[5:8], cumu_virgin_module_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[1,1].set_title('Cumulative Virgin Material Demand', fontsize=24)
axs[1,1].set_xticklabels([])
axs[1,1].set_yticklabels([])
axs[1,1].grid(axis='y', color='0.9', ls='--')
axs[1,1].set_axisbelow(True)
#Ambitious
axs[1,2].set_ylim(axs[1,0].get_ylim())
axs[1,2].bar(scennames_labels[8:], cumu_virgin_module_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
#axs[1,2].set_title('Ambitious', fontsize=14)
axs[1,2].set_xticklabels([])
axs[1,2].set_yticklabels([])
axs[1,2].grid(axis='y', color='0.9', ls='--')
axs[1,2].set_axisbelow(True)
#Lifecycle Wastes-------------------------------------------------
#BAU
axs[2,0].bar(scennames_labels[0:5], cumu_lifecycle_wastes_bt.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[2,0].set_ylim(0,9)
axs[2,0].set_ylabel('Lifecycle Wastes\n[billion tonnes]', fontsize=20)
#axs[2,0].set_title('Baseline', fontsize=14)
axs[2,0].set_xticklabels(labels=scennames_labels[0:5], rotation=45)
axs[2,0].grid(axis='y', color='0.9', ls='--')
axs[2,0].set_axisbelow(True)
#Extreme
axs[2,1].set_ylim(axs[2,0].get_ylim())
axs[2,1].bar(scennames_labels[5:8], cumu_lifecycle_wastes_bt.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[2,1].set_title('Cumulative Lifecycle Wastes', fontsize=24)
axs[2,1].set_xticklabels(labels=scennames_labels[5:8], rotation=45)
axs[2,1].set_yticklabels([])
axs[2,1].grid(axis='y', color='0.9', ls='--')
axs[2,1].set_axisbelow(True)
#Ambitious
axs[2,2].set_ylim(axs[2,0].get_ylim())
axs[2,2].bar(scennames_labels[8:], cumu_lifecycle_wastes_bt.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
#axs[2,2].set_title('Ambitious', fontsize=14)
axs[2,2].set_xticklabels(labels=scennames_labels[8:], rotation=45)
axs[2,2].set_yticklabels([])#yaxis.set_visible(False)
axs[2,2].grid(axis='y', color='0.9', ls='--')
axs[2,2].set_axisbelow(True)
#Overall Figure
fig_mat_cumu.suptitle('Cumulative Deployed Capacity', fontsize=24, y=0.92)
fig_mat_cumu.savefig('energyresults-Cumu-CapMass.png', dpi=300, bbox_inches='tight')
fig_mat_cumu.show()
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\4105108743.py:102: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure. fig_mat_cumu.show()
Because of different bifi factors, they do NOT produce the same energy
plt.plot(energyGen/1e12) plt.legend(scennames_labels) plt.title('Annual Energy Generation') plt.ylabel('Energy Generation [TWh]') plt.ylim(0,)
Increasing the steepness of the curve
e_annual_sumDemands = energy_demands.filter(like='demand_total')
plt.plot(e_annual_sumDemands/1e12) plt.legend(scennames_labels_flat) plt.title('Annual Energy Demands') plt.ylabel('Energy Demands\n[TWh]') plt.ylim(0,) plt.xlim(2000,2050)
#ember electricity demand
world_elec_demand = pd.read_csv(os.path.join(altBaselinesfolder, 'ember-world-electricity-demand.csv'), index_col='year')
#Haegel energy demand research
#added 4 2050 datapoints to above DF
elec_2050 = pd.DataFrame({2050:[58000],2050:[103400],2050:[105000],2050:[85300],})
elec_2050
| 2050 | |
|---|---|
| 0 | 85300 |
#calculate percentage of world electricity demands
elec_mean_2050 = world_elec_demand.loc[2050,'Electricity_demand_twh'].mean()
idx_temp_edmd = pd.Series(range(2023,2051,1))
late_elec_demand = pd.DataFrame(columns=['Electricity_demand_twh'],index=idx_temp_edmd)
late_elec_demand.loc[2050] = elec_mean_2050
elec_demand_goal = pd.DataFrame(pd.concat([world_elec_demand.loc[:2022,'Electricity_demand_twh'],
late_elec_demand.loc[:,'Electricity_demand_twh']]),
dtype=float)
elec_demand = elec_demand_goal.interpolate()
e_annual_sumDemands_TWh = e_annual_sumDemands/1e12
prct_elec_demand_2050 = e_annual_sumDemands_TWh.loc[:2050]/elec_demand.values*100
prct_elec_demand_2050.loc[2050]
PV_ICE_e_demand_total 2.985585 r_PERC_e_demand_total 2.777900 r_SHJ_e_demand_total 2.646524 r_TOPCon_e_demand_total 2.702666 r_IRENA_e_demand_total 4.178621 ex_Life_e_demand_total 2.818833 ex_High_eff_e_demand_total 3.045789 ex_Circular_e_demand_total 4.540979 h_EffLife_e_demand_total 2.922793 h_50PERC_e_demand_total 2.865213 h_RecycledPERC_e_demand_total 5.139302 h_Perovskite_life_e_demand_total 4.481613 h_Perovskite_Eff_e_demand_total 3.073277 Name: 2050, dtype: float64
sim1.scenario['r_IRENA'].material['glass'].matdataOut_e
| mat_extraction | mat_MFG_virgin | mat_MFG_virgin_fuel | mat_MFGScrap_LQ | mat_MFGScrap_HQ | mat_MFGScrap_HQ_fuel | mat_Landfill | mat_Landfill_fuel | mat_EoL_ReMFG_clean | mat_Recycled_LQ | mat_Recycled_HQ | mat_Recycled_HQ_fuel | mat_Recycled_HQ_elec | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 5.347604e+08 | 2.294971e+11 | 1.836114e+11 | 4.001527e+09 | 4.001527e+08 | 2.000763e+08 | 1.929307e+08 | 1.504860e+08 | 0.0 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 | 0.000000e+00 |
| 1 | 1.894837e+08 | 8.035842e+10 | 6.428545e+10 | 1.417876e+09 | 1.417876e+08 | 7.089380e+07 | 6.836193e+07 | 5.332230e+07 | 0.0 | 4.176129e+01 | 2.505677e+00 | 1.252839e+00 | 1.252839e+00 |
| 2 | 2.278207e+08 | 9.521559e+10 | 7.636298e+10 | 1.704746e+09 | 1.704746e+08 | 8.523728e+07 | 8.219508e+07 | 6.411216e+07 | 0.0 | 1.707163e+03 | 1.024298e+02 | 5.121490e+01 | 5.121490e+01 |
| 3 | 3.453459e+08 | 1.422102e+11 | 1.143511e+11 | 2.584168e+09 | 2.584168e+08 | 1.292084e+08 | 1.246104e+08 | 9.719611e+07 | 0.0 | 1.421993e+04 | 8.531957e+02 | 4.265979e+02 | 4.265979e+02 |
| 4 | 7.000218e+08 | 2.839568e+11 | 2.289496e+11 | 5.238152e+09 | 5.238152e+08 | 2.619076e+08 | 2.526262e+08 | 1.970485e+08 | 0.0 | 6.223970e+04 | 3.734382e+03 | 1.867191e+03 | 1.867191e+03 |
| ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... | ... |
| 96 | 1.106059e+12 | 3.759947e+14 | 3.263587e+14 | 8.319248e+12 | 5.615492e+12 | 2.807746e+12 | 5.985330e+12 | 4.668558e+12 | 0.0 | 1.832604e+14 | 1.237008e+14 | 6.185038e+13 | 6.185038e+13 |
| 97 | 1.109438e+12 | 3.771434e+14 | 3.273557e+14 | 8.349127e+12 | 5.635661e+12 | 2.817830e+12 | 6.010683e+12 | 4.688333e+12 | 0.0 | 1.840377e+14 | 1.242254e+14 | 6.211272e+13 | 6.211272e+13 |
| 98 | 1.115861e+12 | 3.793268e+14 | 3.292509e+14 | 8.410093e+12 | 5.676813e+12 | 2.838406e+12 | 6.065477e+12 | 4.731072e+12 | 0.0 | 1.857184e+14 | 1.253599e+14 | 6.267997e+13 | 6.267997e+13 |
| 99 | 1.117665e+12 | 3.799403e+14 | 3.297834e+14 | 8.423836e+12 | 5.686089e+12 | 2.843045e+12 | 6.075512e+12 | 4.738899e+12 | 0.0 | 1.860257e+14 | 1.255674e+14 | 6.278368e+13 | 6.278368e+13 |
| 100 | 1.127398e+12 | 3.832489e+14 | 3.326552e+14 | 8.518211e+12 | 5.749792e+12 | 2.874896e+12 | 6.161695e+12 | 4.806122e+12 | 0.0 | 1.886695e+14 | 1.273519e+14 | 6.367597e+13 | 6.367597e+13 |
101 rows × 13 columns
e_annual_sumDemands_TWh = e_annual_sumDemands/1e12
fig, ax1 = plt.subplots()
#world electricity demand
#ax1.plot(world_elec_demand.iloc[0:2022,0], label='Global Electricity Demand', ls='dashdot')
#BAU
ax1.plot(e_annual_sumDemands_TWh.iloc[:,0:5])
#Extreme
ax1.plot(e_annual_sumDemands_TWh.iloc[:,5:8])
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax1.plot(e_annual_sumDemands_TWh.iloc[:,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
#Ambitious
ax1.plot(e_annual_sumDemands_TWh.iloc[:,8:], ls='--')
ax1.legend(scennames_labels_flat)
plt.title('Annual Energy Demands')
plt.ylabel('Energy Demands\n[TWh]')
plt.ylim(0,)
plt.xlim(2000,2050)
plt.show()
e_annual_demands_TWh = e_annual_sumDemands/1e12
fig, (ax1,ax2,ax3) = plt.subplots(1,3,figsize=(15,5), sharey=True, sharex=True,
gridspec_kw={'wspace':0})
#ax1.plot(world_elec_demand.iloc[:2022,0], label='Global Electricity Demand', ls='dashdot')
#ax1.scatter(x=2050, y=elec_2050.T, label='Global Electricity Demand')
#BAU
ax1.set_prop_cycle(color=colorpalette[0:5])
ax1.plot(prct_elec_demand_2050.iloc[:2050,0:5], label=scennames_labels_flat[0:5]) # baselines
ax1.set_title('Business as Usual', fontsize=14)
ax1.set_ylabel('Percent of Global Annual\nElectricity Demand [%]', fontsize=20)
ax1.set_xlim(2000,2050)
ax1.set_ylim(0,10)
ax1.legend(bbox_to_anchor=(0.9,-0.05))
#Extreme
#ax2.plot(world_elec_demand.iloc[:,0], label='Global Electricity Demand', ls='dashdot')
ax2.set_prop_cycle(color=colorpalette[5:8])
ax2.plot(prct_elec_demand_2050.iloc[:2050,5:8], label=scennames_labels_flat[5:8]) #, color=colorpalette[4:7])
#create glowlines for Extreme scens
n_lines = 10
diff_linewidth = 1.05
alpha_value = 0.05
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,5],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[5])
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,6],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[6])
for n in range(1, n_lines+1):
ax2.plot(prct_elec_demand_2050.iloc[:2050,7],
linewidth=2+(diff_linewidth*n),
alpha=alpha_value,
color=colorpalette[7])
ax2.set_title('Extreme', fontsize=14)
ax2.legend(bbox_to_anchor=(0.9,-0.05))
#Ambitious
#ax3.plot(world_elec_demand.iloc[:,0], label='Global Electricity Demand', ls='dashdot')
ax3.set_prop_cycle(color=colorpalette[8:])
ax3.plot(prct_elec_demand_2050.iloc[:2050,8:], label=scennames_labels_flat[8:], ls='--')#
ax3.set_title('Ambitious', fontsize=14)
ax3.legend(bbox_to_anchor=(1.05,-0.05)) #(x,y)
#overall figure
fig.suptitle('Annual Energy Demand as Percent of\nProjected Global Electricity Demand through 2050', fontsize=24, y=1.1)
plt.show()
fig.savefig('energyresults-annualEnergyDemands2050.png', dpi=300, bbox_inches='tight')
e_annual_sumDemands_cumu = e_annual_sumDemands.cumsum()
plt.bar(e_annual_sumDemands_cumu.columns, e_annual_sumDemands_cumu.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Cumulative Lifecycle Energy Demands') plt.ylabel('Cumulative Energy Demands\n[TWh]') plt.xticks(rotation=90)
cumu_e_demands_twh = e_annual_sumDemands_cumu.loc[2100]/1e12
cumu_e_demands_twh.index = scennames_labels_flat
fig_eDemands, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_e_demands_twh.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,200000)
ax0.set_ylabel('Cumulative Energy Demands [TWh]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_e_demands_twh.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_e_demands_twh.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_eDemands.suptitle('Cumulative Lifecycle Energy Demands', fontsize=24)
plt.show()
fig_eDemands.savefig('energyresults-energyDemands.png', dpi=300, bbox_inches='tight')
#select material demands that are not fuel
e_fuels = energy_demands.filter(like='_fuel')
e_energydemands = energy_demands.loc[:,~energy_demands.columns.isin(e_fuels.columns)]
#sum energy demands by material
e_mfging_bymat = pd.DataFrame()
for scen in sim1.scenario.keys():
e_energy_mfg_scen = e_energydemands.filter(like=scen).filter(like='_MFG_')
e_energy_mod_mfg_scen = energy_demands.filter(like=scen).filter(like='mod_MFG')
e_mfging_bymat = pd.concat([e_mfging_bymat,e_energy_mfg_scen,e_energy_mod_mfg_scen], axis=1)
cum_e_mfging_bymat = e_mfging_bymat.cumsum().loc[2100]
cum_e_mfging_bymat
PV_ICE_glass_mat_MFG_virgin 3.065209e+16
PV_ICE_silicon_mat_MFG_virgin 6.786484e+16
PV_ICE_silver_mat_MFG_virgin 5.120734e+14
PV_ICE_aluminium_frames_mat_MFG_virgin 2.157346e+16
PV_ICE_copper_mat_MFG_virgin 9.379611e+13
...
h_Perovskite_Eff_aluminium_frames_mat_MFG_virgin 1.047920e+16
h_Perovskite_Eff_copper_mat_MFG_virgin 1.841697e+14
h_Perovskite_Eff_encapsulant_mat_MFG_virgin 4.701930e+15
h_Perovskite_Eff_backsheet_mat_MFG_virgin 2.728711e+13
h_Perovskite_Eff_mod_MFG 5.588047e+15
Name: 2100, Length: 104, dtype: float64
#run 2x rn??
#energy demands by material mfging
plt.bar(e_annual_sumDemands_cumu.columns, e_annual_sumDemands_cumu.loc[2100],
tick_label=(scennames_labels), color=colorpalette)
#Materials
cume_mfg_glass = cum_e_mfging_bymat.filter(like='glass')
cume_mfg_silicon = cum_e_mfging_bymat.filter(like='silicon')
cume_mfg_silver = cum_e_mfging_bymat.filter(like='silver')
cume_mfg_aluminium_frames = cum_e_mfging_bymat.filter(like='aluminium_frames')
cume_mfg_copper = cum_e_mfging_bymat.filter(like='copper')
cume_mfg_encapsulant = cum_e_mfging_bymat.filter(like='encapsulant')
cume_mfg_backsheet = cum_e_mfging_bymat.filter(like='backsheet')
cume_mfg_mod = cum_e_mfging_bymat.filter(like='mod')
bot_ag = cume_mfg_glass.values+cume_mfg_silicon.values
bot_al = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values
bot_cu = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values
bot_encap = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values
bot_back = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values+cume_mfg_encapsulant.values
bot_mod = cume_mfg_glass.values+cume_mfg_silicon.values+cume_mfg_silver.values+cume_mfg_aluminium_frames.values+cume_mfg_copper.values+cume_mfg_encapsulant.values+cume_mfg_backsheet.values
plt.bar(scennames_labels, cume_mfg_glass, color = colormats[0], hatch='.')
plt.bar(scennames_labels, cume_mfg_silicon, bottom = cume_mfg_glass, color=colormats[1], hatch='.')
plt.bar(scennames_labels, cume_mfg_silver, bottom = bot_ag, color=colormats[2], hatch='.')
plt.bar(scennames_labels, cume_mfg_aluminium_frames, bottom = bot_al, color=colormats[3], hatch='.')
plt.bar(scennames_labels, cume_mfg_copper, bottom = bot_cu , color=colormats[4], hatch='.')
plt.bar(scennames_labels, cume_mfg_encapsulant, bottom = bot_encap ,color=colormats[5], hatch='.')
plt.bar(scennames_labels, cume_mfg_backsheet, bottom = bot_back, color=colormats[6], hatch='.')
plt.bar(scennames_labels, cume_mfg_mod, bottom = bot_back, color='white', hatch='.')
plt.xticks(rotation=90)
plt.legend(MATERIALS)
<matplotlib.legend.Legend at 0x2712c4d9090>
energyGen_cumu = energyGen.cumsum()
energyGen_cumu.columns = e_annual_sumDemands_cumu.columns = scennames_labels_flat
netEnergy_cumu = energyGen_cumu.loc[[2100]] - e_annual_sumDemands_cumu.loc[[2100]]
e_annual_sumDemands_cumu.loc[[2100]]
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 1.563005e+17 | 1.410902e+17 | 1.344104e+17 | 1.372465e+17 | 2.266717e+17 | 1.173275e+17 | 1.578337e+17 | 1.666492e+17 | 1.200739e+17 | 1.242504e+17 | 1.805308e+17 | 1.602730e+17 | 1.506178e+17 |
netEnergy_cumu
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 7.610941e+18 | 8.169859e+18 | 8.331883e+18 | 8.251375e+18 | 7.540570e+18 | 7.921768e+18 | 8.323994e+18 | 7.600593e+18 | 8.361754e+18 | 7.914845e+18 | 7.586711e+18 | 7.606969e+18 | 7.616624e+18 |
plt.bar(netEnergy_cumu.columns, netEnergy_cumu.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Net Energy Cumulatively') plt.ylabel('Cumulative Net Energy [TWh]')
plt.xticks(rotation=90)
cumu_netEnergy_twh = netEnergy_cumu.loc[2100]/1e15
fig, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], cumu_netEnergy_twh.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,8000)
ax0.set_ylabel('Cumulative Net Energy\n[thousand TWh]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
#Extreme
ax2.bar(scennames_labels[5:8], cumu_netEnergy_twh.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
#Ambitious
ax3.bar(scennames_labels[8:], cumu_netEnergy_twh.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
#overall fig
fig.suptitle('Net Energy Cumulatively', fontsize=24)
plt.show()
fig.savefig('energyresults-cumuNetEnergy.png', dpi=300, bbox_inches='tight')
netEnergy_relative = netEnergy_cumu - netEnergy_cumu.loc[2100,'PV_ICE'] netEnergy_relative plt.bar(netEnergy_relative.columns, netEnergy_relative.loc[2100]/1e12, tick_label=(scennames_labels), color=colorpalette) plt.title('Cumulatively Net Energy Relative to PV ICE') plt.ylabel('Relative Cumulative Net Energy [TWh]') plt.xticks(rotation=90)
netEnergy_cumu_norm = netEnergy_cumu/netEnergy_cumu.loc[2100,'PV_ICE']
netEnergy_cumu_norm_waterfall = netEnergy_cumu_norm-1
netEnergy_cumu_norm
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 1.0 | 1.073436 | 1.094724 | 1.084146 | 0.990754 | 1.040839 | 1.093688 | 0.99864 | 1.098649 | 1.03993 | 0.996816 | 0.999478 | 1.000747 |
plt.bar(netEnergy_cumu.columns, netEnergy_cumu_norm_waterfall.loc[2100], tick_label=(scennames_labels), color=colorpalette) plt.title('Net Energy Cumulatively Relative to PV ICE') plt.ylabel('Relative Cumulative Net Energy')
plt.plot(0.0, lw=2) plt.xticks(rotation=90)
netEnergy_cumu_norm_waterfall
| PV_ICE | PERC | SHJ | TOPCon | Low Quality | Long-Lived | High Eff | Circular | High Eff + Long-life | Long-Life + Recycling | Recycled-Si + Long-life | Circular + Long-life | Circular + High Eff | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| year | |||||||||||||
| 2100 | 0.0 | 0.073436 | 0.094724 | 0.084146 | -0.009246 | 0.040839 | 0.093688 | -0.00136 | 0.098649 | 0.03993 | -0.003184 | -0.000522 | 0.000747 |
fig_eNetE, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], netEnergy_cumu_norm_waterfall.iloc[-1,0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
#ax0.set_ylim(0,410)
ax0.set_ylabel('Net Energy Normalized\n[Fraction]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.axhline(0, lw=1, color='black')
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], netEnergy_cumu_norm_waterfall.iloc[-1,5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.axhline(0, lw=1, color='black')
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], netEnergy_cumu_norm_waterfall.iloc[-1,8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
ax3.axhline(0, lw=1, color='black')
fig_eNetE.suptitle('Normalized Net Energy', fontsize=24)
plt.show()
fig_eNetE.savefig('energyresults-cumuNetEnergyNorm.png', dpi=300, bbox_inches='tight')
netenergy_final = netEnergy_cumu.loc[2100]/1e12
energyGen.columns = e_annual_sumDemands.columns = scennames_labels_flat
annual_net_energy = energyGen - e_annual_sumDemands
plt.plot(annual_net_energy/1e12) plt.legend(scennames_labels_flat) plt.title('Annual Net Energy') plt.ylabel('Net Energy (Eout - Ein)\n[TWh]') plt.ylim(0,) plt.xlim(2000,2100)
Inspired by EROI, this is all the energy generation divided by all the energy demanded for all systems deployed in energy transition. This is giving us an idea of our energy bang for energy buck
energyBalance_allyears = energyGen_cumu/e_annual_sumDemands_cumu
plt.bar(energyBalance_allyears.columns, energyBalance_allyears.loc[2100], tick_label=(scennames_labels), color=colorpalette) plt.title('Energy Balance') plt.ylabel('Unitless') plt.xticks(rotation=90)
energyBalance = energyBalance_allyears.loc[2100]
fig_eBalance, (ax0,ax2,ax3) = plt.subplots(1,3,figsize=(15,6), sharey=True,
gridspec_kw={'wspace': 0, 'width_ratios': [1.5,1,1.5]})
#BAU
ax0.bar(scennames_labels[0:5], energyBalance.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
ax0.set_ylim(0,75)
ax0.set_ylabel('Energy Balance [Unitless]', fontsize=20)
ax0.set_title('Baseline', fontsize=14)
ax0.set_xticklabels(labels=scennames_labels[0:5], rotation=45)
ax0.grid(axis='y', color='0.9', ls='--')
ax0.set_axisbelow(True)
#Extreme
ax2.bar(scennames_labels[5:8], energyBalance.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
ax2.set_title('Extreme', fontsize=14)
ax2.set_xticklabels(labels=scennames_labels[5:8], rotation=45)
ax2.grid(axis='y', color='0.9', ls='--')
ax2.set_axisbelow(True)
#Ambitious
ax3.bar(scennames_labels[8:], energyBalance.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
ax3.set_title('Ambitious', fontsize=14)
ax3.set_xticklabels(labels=scennames_labels[8:], rotation=45)
ax3.grid(axis='y', color='0.9', ls='--')
ax3.set_axisbelow(True)
#overall fig
fig_eBalance.suptitle('Energy Balance', fontsize=24)
plt.show()
fig_eBalance.savefig('energyresults-energyBalance.png', dpi=300, bbox_inches='tight')
fig_eDemands fig_eNetE fig_eBalance
#cumulative energy figure
fig_e_cumu, axs = plt.subplots(3,3,figsize=(15,18),
gridspec_kw={'wspace': 0, 'hspace':0.1, 'width_ratios': [1.5,1,1.5]})
#Energy Demands
#BAU
axs[0,0].bar(scennames_labels[0:5], cumu_e_demands_twh.iloc[0:5]/1e3,# width=0.1,
color=colorpalette[0:5])
axs[0,0].set_ylim(0,200)
axs[0,0].set_ylabel('Cumulative Energy Demands\n[thousand TWh]', fontsize=20)
axs[0,0].set_title('Business As Usual', fontsize=20)
axs[0,0].set_xticklabels([])
#axs[0,0].yaxis.set_minor_locator(MultipleLocator(0.05))
axs[0,0].grid(axis='y', color='0.9', ls='--')
axs[0,0].set_axisbelow(True)
#Extreme
axs[0,1].bar(scennames_labels[5:8], cumu_e_demands_twh.iloc[5:8]/1e3, #width=0.8,
color=colorpalette[5:8])
axs[0,1].set_title('Extreme', fontsize=20)
axs[0,1].set_ylim(axs[0,0].get_ylim())#, visible=False)#sharey(axs[0, 0])
axs[0,1].set_xticklabels([])
axs[0,1].set_yticklabels([])#yaxis.set_visible(False)
axs[0,1].grid(axis='y', color='0.9', ls='--')
axs[0,1].set_axisbelow(True)
#Ambitious
axs[0,2].bar(scennames_labels[8:], cumu_e_demands_twh.iloc[8:]/1e3, #width=0.8,
color=colorpalette[8:], hatch='x', edgecolor='white')
axs[0,2].set_title('Ambitious', fontsize=20)
axs[0,2].set_ylim(axs[0,0].get_ylim())#, visible=False)
axs[0,2].set_xticklabels([])
axs[0,2].set_yticklabels([])#yaxis.set_visible(False)
axs[0,2].grid(axis='y', color='0.9', ls='--')
axs[0,2].set_axisbelow(True)
#Net Energy------------------------------------------------------
#BAU
axs[1,0].bar(scennames_labels[0:5], netEnergy_cumu_norm_waterfall.iloc[-1,0:5],# width=0.1,
color=colorpalette[0:5])
axs[1,0].set_ylim(-0.025,0.1)
axs[1,0].set_ylabel('Net Energy Normalized\n[Fraction]', fontsize=20)
axs[1,0].set_xticklabels([])
axs[1,0].axhline(0, lw=1, color='black')
axs[1,0].grid(axis='y', color='0.9', ls='--')
axs[1,0].set_axisbelow(True)
#Extreme
axs[1,1].bar(scennames_labels[5:8], netEnergy_cumu_norm_waterfall.iloc[-1,5:8], #width=0.8,
color=colorpalette[5:8])
axs[1,1].set_ylim(axs[1,0].get_ylim())
axs[1,1].set_xticklabels([])
axs[1,1].axhline(0, lw=1, color='black')
axs[1,1].set_yticklabels([])#yaxis.set_visible(False)
axs[1,1].grid(axis='y', color='0.9', ls='--')
axs[1,1].set_axisbelow(True)
axs[1,1].set_title('Cumulative Net Energy', fontsize=24)
#Ambitious
axs[1,2].bar(scennames_labels[8:], netEnergy_cumu_norm_waterfall.iloc[-1,8:], #width=0.8,
color=colorpalette[8:], hatch='x', edgecolor='white')
axs[1,2].set_ylim(axs[1,0].get_ylim())
axs[1,2].set_xticklabels([])
axs[1,2].set_yticklabels([])#yaxis.set_visible(False)
axs[1,2].grid(axis='y', color='0.9', ls='--')
axs[1,2].set_axisbelow(True)
#overall fig
axs[1,2].axhline(0, lw=1, color='black')
#Energy Balance------------------------------------------------
#BAU
axs[2,0].bar(scennames_labels[0:5], energyBalance.iloc[0:5],# width=0.1,
tick_label=scennames_labels[0:5], color=colorpalette[0:5])
axs[2,0].set_ylim(0,75)
axs[2,0].set_ylabel('Energy Balance\n[Unitless]', fontsize=20)
axs[2,0].set_xticklabels(labels=scennames_labels[0:5], rotation=45)
axs[2,0].grid(axis='y', color='0.9', ls='--')
axs[2,0].set_axisbelow(True)
#Extreme
axs[2,1].bar(scennames_labels[5:8], energyBalance.iloc[5:8], #width=0.8,
tick_label=scennames_labels[5:8], color=colorpalette[5:8])
axs[2,1].set_ylim(axs[2,0].get_ylim())
axs[2,1].set_xticklabels(labels=scennames_labels[5:8], rotation=45)
axs[2,1].set_title('Energy Balance', fontsize=24)
axs[2,1].set_yticklabels([])#yaxis.set_visible(False)
axs[2,1].grid(axis='y', color='0.9', ls='--')
axs[2,1].set_axisbelow(True)
#Ambitious
axs[2,2].bar(scennames_labels[8:], energyBalance.iloc[8:], #width=0.8,
tick_label=scennames_labels[8:], color=colorpalette[8:], hatch='x', edgecolor='white')
axs[2,2].set_ylim(axs[2,0].get_ylim())
axs[2,2].set_xticklabels(labels=scennames_labels[8:], rotation=45)
axs[2,2].set_yticklabels([])#yaxis.set_visible(False)
axs[2,2].grid(axis='y', color='0.9', ls='--')
axs[2,2].set_axisbelow(True)
#overall fig
fig_e_cumu.suptitle('Cumulative Energy Demands', fontsize=24, y=0.92)
fig_e_cumu.savefig('energyresults-AllEnergyMetrics.png', dpi=300, bbox_inches='tight')
fig_e_cumu.show()
C:\Users\hmirletz\AppData\Local\Temp\1\ipykernel_3328\866380601.py:104: UserWarning: Matplotlib is currently using module://matplotlib_inline.backend_inline, which is a non-GUI backend, so cannot show the figure. fig_e_cumu.show()
discussTable = pd.concat([total_deploy,virgin,wastes, cumu_e_demands_twh,netenergy_final,energyBalance], axis=1,
keys=['replacements','virgin','wastes','energydemand','netenergy','energybalance'])
discussTable.to_csv(os.path.join(testfolder,'discussiontable.csv'))
discussTable
| replacements | virgin | wastes | energydemand | netenergy | energybalance | |
|---|---|---|---|---|---|---|
| PV_ICE | 205.686721 | 10.927303 | 5.822612 | 156300.456828 | 7.610941e+06 | 49.694301 |
| PERC | 201.836711 | 8.751818 | 2.364917 | 141090.191398 | 8.169859e+06 | 58.905220 |
| SHJ | 201.836711 | 8.322032 | 2.249524 | 134410.431770 | 8.331883e+06 | 62.988367 |
| TOPCon | 201.836711 | 8.499400 | 2.297251 | 137246.526976 | 8.251375e+06 | 61.120826 |
| Low Quality | 282.342136 | 11.711450 | 4.555147 | 226671.746894 | 7.540570e+06 | 34.266476 |
| Long-Lived | 158.602491 | 9.566779 | 3.962598 | 117327.533817 | 7.921768e+06 | 68.518404 |
| High Eff | 276.221814 | 12.873795 | 8.553365 | 157833.706562 | 8.323994e+06 | 53.739016 |
| Circular | 431.413291 | 9.701905 | 1.319745 | 166649.241879 | 7.600593e+06 | 46.608324 |
| High Eff + Long-life | 205.181209 | 9.783751 | 5.388995 | 120073.895701 | 8.361754e+06 | 70.638401 |
| Long-Life + Recycling | 165.509361 | 9.536374 | 3.373185 | 124250.426279 | 7.914845e+06 | 64.700746 |
| Recycled-Si + Long-life | 246.538003 | 8.788118 | 1.540333 | 180530.818299 | 7.586711e+06 | 43.024465 |
| Circular + Long-life | 292.390866 | 9.479031 | 1.834919 | 160272.964965 | 7.606969e+06 | 48.462583 |
| Circular + High Eff | 431.413291 | 7.786807 | 2.318517 | 150617.833840 | 7.616624e+06 | 51.569205 |